Complete Fibers, Positive-Mass Conditional Laws and Sufficiency
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batch-20261015-advance-20261116-r05-finite-sufficient-statistic-foundations · 2026-10-15 · 100 questions
This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.
Field order uses a source-bound presentation supplement; canonical JSONL and mathematical answers are unchanged.
Field-order and source-binding data
1. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a0, b0], samples=[0, 1, 2, 3], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([0, 1, 2, 3], [0, 1, 0, 1], [[0, [0, 2]], [1, [1, 3]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([0, 1, 2, 3], [0, 1, 0, 1], [[0, [0, 2]], [1, [1, 3]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
2. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a1, b1], samples=[10, 11, 12, 13], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([10, 11, 12, 13], [0, 1, 0, 1], [[0, [10, 12]], [1, [11, 13]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([10, 11, 12, 13], [0, 1, 0, 1], [[0, [10, 12]], [1, [11, 13]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
3. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a2, b2], samples=[20, 21, 22, 23], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([20, 21, 22, 23], [0, 1, 0, 1], [[0, [20, 22]], [1, [21, 23]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([20, 21, 22, 23], [0, 1, 0, 1], [[0, [20, 22]], [1, [21, 23]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
4. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a3, b3], samples=[30, 31, 32, 33], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([30, 31, 32, 33], [0, 1, 0, 1], [[0, [30, 32]], [1, [31, 33]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([30, 31, 32, 33], [0, 1, 0, 1], [[0, [30, 32]], [1, [31, 33]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
5. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a4, b4], samples=[40, 41, 42, 43], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([40, 41, 42, 43], [0, 1, 0, 1], [[0, [40, 42]], [1, [41, 43]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([40, 41, 42, 43], [0, 1, 0, 1], [[0, [40, 42]], [1, [41, 43]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
6. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a5, b5], samples=[50, 51, 52, 53], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([50, 51, 52, 53], [0, 1, 0, 1], [[0, [50, 52]], [1, [51, 53]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([50, 51, 52, 53], [0, 1, 0, 1], [[0, [50, 52]], [1, [51, 53]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
7. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a6, b6], samples=[60, 61, 62, 63], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([60, 61, 62, 63], [0, 1, 0, 1], [[0, [60, 62]], [1, [61, 63]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([60, 61, 62, 63], [0, 1, 0, 1], [[0, [60, 62]], [1, [61, 63]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
8. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a7, b7], samples=[70, 71, 72, 73], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([70, 71, 72, 73], [0, 1, 0, 1], [[0, [70, 72]], [1, [71, 73]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([70, 71, 72, 73], [0, 1, 0, 1], [[0, [70, 72]], [1, [71, 73]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
9. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a8, b8], samples=[80, 81, 82, 83], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([80, 81, 82, 83], [0, 1, 0, 1], [[0, [80, 82]], [1, [81, 83]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([80, 81, 82, 83], [0, 1, 0, 1], [[0, [80, 82]], [1, [81, 83]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
10. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a9, b9], samples=[90, 91, 92, 93], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([90, 91, 92, 93], [0, 1, 0, 1], [[0, [90, 92]], [1, [91, 93]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([90, 91, 92, 93], [0, 1, 0, 1], [[0, [90, 92]], [1, [91, 93]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
11. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a10, b10], samples=[100, 101, 102, 103], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([100, 101, 102, 103], [0, 1, 0, 1], [[0, [100, 102]], [1, [101, 103]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([100, 101, 102, 103], [0, 1, 0, 1], [[0, [100, 102]], [1, [101, 103]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
12. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a11, b11], samples=[110, 111, 112, 113], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([110, 111, 112, 113], [0, 1, 0, 1], [[0, [110, 112]], [1, [111, 113]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([110, 111, 112, 113], [0, 1, 0, 1], [[0, [110, 112]], [1, [111, 113]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
13. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a12, b12], samples=[120, 121, 122, 123], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([120, 121, 122, 123], [0, 1, 0, 1], [[0, [120, 122]], [1, [121, 123]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([120, 121, 122, 123], [0, 1, 0, 1], [[0, [120, 122]], [1, [121, 123]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
14. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a13, b13], samples=[130, 131, 132, 133], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([130, 131, 132, 133], [0, 1, 0, 1], [[0, [130, 132]], [1, [131, 133]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([130, 131, 132, 133], [0, 1, 0, 1], [[0, [130, 132]], [1, [131, 133]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
15. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a14, b14], samples=[140, 141, 142, 143], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([140, 141, 142, 143], [0, 1, 0, 1], [[0, [140, 142]], [1, [141, 143]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([140, 141, 142, 143], [0, 1, 0, 1], [[0, [140, 142]], [1, [141, 143]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
16. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a15, b15], samples=[150, 151, 152, 153], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([150, 151, 152, 153], [0, 1, 0, 1], [[0, [150, 152]], [1, [151, 153]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([150, 151, 152, 153], [0, 1, 0, 1], [[0, [150, 152]], [1, [151, 153]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
17. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a16, b16], samples=[160, 161, 162, 163], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([160, 161, 162, 163], [0, 1, 0, 1], [[0, [160, 162]], [1, [161, 163]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([160, 161, 162, 163], [0, 1, 0, 1], [[0, [160, 162]], [1, [161, 163]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
18. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a17, b17], samples=[170, 171, 172, 173], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([170, 171, 172, 173], [0, 1, 0, 1], [[0, [170, 172]], [1, [171, 173]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([170, 171, 172, 173], [0, 1, 0, 1], [[0, [170, 172]], [1, [171, 173]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
19. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a18, b18], samples=[180, 181, 182, 183], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([180, 181, 182, 183], [0, 1, 0, 1], [[0, [180, 182]], [1, [181, 183]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([180, 181, 182, 183], [0, 1, 0, 1], [[0, [180, 182]], [1, [181, 183]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
20. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a19, b19], samples=[190, 191, 192, 193], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([190, 191, 192, 193], [0, 1, 0, 1], [[0, [190, 192]], [1, [191, 193]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([190, 191, 192, 193], [0, 1, 0, 1], [[0, [190, 192]], [1, [191, 193]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
21. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a20, b20], samples=[200, 201, 202, 203], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([200, 201, 202, 203], [0, 1, 0, 1], [[0, [200, 202]], [1, [201, 203]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([200, 201, 202, 203], [0, 1, 0, 1], [[0, [200, 202]], [1, [201, 203]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
22. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a21, b21], samples=[210, 211, 212, 213], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([210, 211, 212, 213], [0, 1, 0, 1], [[0, [210, 212]], [1, [211, 213]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([210, 211, 212, 213], [0, 1, 0, 1], [[0, [210, 212]], [1, [211, 213]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
23. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a22, b22], samples=[220, 221, 222, 223], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([220, 221, 222, 223], [0, 1, 0, 1], [[0, [220, 222]], [1, [221, 223]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([220, 221, 222, 223], [0, 1, 0, 1], [[0, [220, 222]], [1, [221, 223]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
24. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a23, b23], samples=[230, 231, 232, 233], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([230, 231, 232, 233], [0, 1, 0, 1], [[0, [230, 232]], [1, [231, 233]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([230, 231, 232, 233], [0, 1, 0, 1], [[0, [230, 232]], [1, [231, 233]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
25. A Total Statistic Partitions the Complete Sample Carrier into Fibers
Use complete theta labels=[a24, b24], samples=[240, 241, 242, 243], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (samples, aligned_statistic, fibers, partition, certificate).
View answer and explanation
([240, 241, 242, 243], [0, 1, 0, 1], [[0, [240, 242]], [1, [241, 243]]], Yes, total_statistic_fibers_partition_sample_space)
Sort samples with their statistic values and laws. List every statistic fiber and compare its total covered count with the sample count. A partition alone does not establish theta-independent conditional laws or estimator quality. The exact result, retaining the requested order, is ([240, 241, 242, 243], [0, 1, 0, 1], [[0, [240, 242]], [1, [241, 243]]], Yes, total_statistic_fibers_partition_sample_space).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-fibers · candidate
26. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a0, b0], samples=[0, 1, 2, 3], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a0, 0, 4/5, [[0, 1/2], [2, 1/2]]], [a0, 1, 1/5, [[1, 1/2], [3, 1/2]]], [b0, 0, 1/5, [[0, 1/2], [2, 1/2]]], [b0, 1, 4/5, [[1, 1/2], [3, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a0, 0, 4/5, [[0, 1/2], [2, 1/2]]], [a0, 1, 1/5, [[1, 1/2], [3, 1/2]]], [b0, 0, 1/5, [[0, 1/2], [2, 1/2]]], [b0, 1, 4/5, [[1, 1/2], [3, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
27. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a1, b1], samples=[10, 11, 12, 13], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a1, 0, 4/5, [[10, 1/2], [12, 1/2]]], [a1, 1, 1/5, [[11, 1/2], [13, 1/2]]], [b1, 0, 1/5, [[10, 1/2], [12, 1/2]]], [b1, 1, 4/5, [[11, 1/2], [13, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a1, 0, 4/5, [[10, 1/2], [12, 1/2]]], [a1, 1, 1/5, [[11, 1/2], [13, 1/2]]], [b1, 0, 1/5, [[10, 1/2], [12, 1/2]]], [b1, 1, 4/5, [[11, 1/2], [13, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
28. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a2, b2], samples=[20, 21, 22, 23], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a2, 0, 4/5, [[20, 1/2], [22, 1/2]]], [a2, 1, 1/5, [[21, 1/2], [23, 1/2]]], [b2, 0, 1/5, [[20, 1/2], [22, 1/2]]], [b2, 1, 4/5, [[21, 1/2], [23, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a2, 0, 4/5, [[20, 1/2], [22, 1/2]]], [a2, 1, 1/5, [[21, 1/2], [23, 1/2]]], [b2, 0, 1/5, [[20, 1/2], [22, 1/2]]], [b2, 1, 4/5, [[21, 1/2], [23, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
29. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a3, b3], samples=[30, 31, 32, 33], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a3, 0, 4/5, [[30, 1/2], [32, 1/2]]], [a3, 1, 1/5, [[31, 1/2], [33, 1/2]]], [b3, 0, 1/5, [[30, 1/2], [32, 1/2]]], [b3, 1, 4/5, [[31, 1/2], [33, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a3, 0, 4/5, [[30, 1/2], [32, 1/2]]], [a3, 1, 1/5, [[31, 1/2], [33, 1/2]]], [b3, 0, 1/5, [[30, 1/2], [32, 1/2]]], [b3, 1, 4/5, [[31, 1/2], [33, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
30. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a4, b4], samples=[40, 41, 42, 43], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a4, 0, 4/5, [[40, 1/2], [42, 1/2]]], [a4, 1, 1/5, [[41, 1/2], [43, 1/2]]], [b4, 0, 1/5, [[40, 1/2], [42, 1/2]]], [b4, 1, 4/5, [[41, 1/2], [43, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a4, 0, 4/5, [[40, 1/2], [42, 1/2]]], [a4, 1, 1/5, [[41, 1/2], [43, 1/2]]], [b4, 0, 1/5, [[40, 1/2], [42, 1/2]]], [b4, 1, 4/5, [[41, 1/2], [43, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
31. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a5, b5], samples=[50, 51, 52, 53], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a5, 0, 4/5, [[50, 1/2], [52, 1/2]]], [a5, 1, 1/5, [[51, 1/2], [53, 1/2]]], [b5, 0, 1/5, [[50, 1/2], [52, 1/2]]], [b5, 1, 4/5, [[51, 1/2], [53, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a5, 0, 4/5, [[50, 1/2], [52, 1/2]]], [a5, 1, 1/5, [[51, 1/2], [53, 1/2]]], [b5, 0, 1/5, [[50, 1/2], [52, 1/2]]], [b5, 1, 4/5, [[51, 1/2], [53, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
32. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a6, b6], samples=[60, 61, 62, 63], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a6, 0, 4/5, [[60, 1/2], [62, 1/2]]], [a6, 1, 1/5, [[61, 1/2], [63, 1/2]]], [b6, 0, 1/5, [[60, 1/2], [62, 1/2]]], [b6, 1, 4/5, [[61, 1/2], [63, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a6, 0, 4/5, [[60, 1/2], [62, 1/2]]], [a6, 1, 1/5, [[61, 1/2], [63, 1/2]]], [b6, 0, 1/5, [[60, 1/2], [62, 1/2]]], [b6, 1, 4/5, [[61, 1/2], [63, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
33. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a7, b7], samples=[70, 71, 72, 73], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a7, 0, 4/5, [[70, 1/2], [72, 1/2]]], [a7, 1, 1/5, [[71, 1/2], [73, 1/2]]], [b7, 0, 1/5, [[70, 1/2], [72, 1/2]]], [b7, 1, 4/5, [[71, 1/2], [73, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a7, 0, 4/5, [[70, 1/2], [72, 1/2]]], [a7, 1, 1/5, [[71, 1/2], [73, 1/2]]], [b7, 0, 1/5, [[70, 1/2], [72, 1/2]]], [b7, 1, 4/5, [[71, 1/2], [73, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
34. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a8, b8], samples=[80, 81, 82, 83], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a8, 0, 4/5, [[80, 1/2], [82, 1/2]]], [a8, 1, 1/5, [[81, 1/2], [83, 1/2]]], [b8, 0, 1/5, [[80, 1/2], [82, 1/2]]], [b8, 1, 4/5, [[81, 1/2], [83, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a8, 0, 4/5, [[80, 1/2], [82, 1/2]]], [a8, 1, 1/5, [[81, 1/2], [83, 1/2]]], [b8, 0, 1/5, [[80, 1/2], [82, 1/2]]], [b8, 1, 4/5, [[81, 1/2], [83, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
35. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a9, b9], samples=[90, 91, 92, 93], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a9, 0, 4/5, [[90, 1/2], [92, 1/2]]], [a9, 1, 1/5, [[91, 1/2], [93, 1/2]]], [b9, 0, 1/5, [[90, 1/2], [92, 1/2]]], [b9, 1, 4/5, [[91, 1/2], [93, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a9, 0, 4/5, [[90, 1/2], [92, 1/2]]], [a9, 1, 1/5, [[91, 1/2], [93, 1/2]]], [b9, 0, 1/5, [[90, 1/2], [92, 1/2]]], [b9, 1, 4/5, [[91, 1/2], [93, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
36. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a10, b10], samples=[100, 101, 102, 103], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a10, 0, 4/5, [[100, 1/2], [102, 1/2]]], [a10, 1, 1/5, [[101, 1/2], [103, 1/2]]], [b10, 0, 1/5, [[100, 1/2], [102, 1/2]]], [b10, 1, 4/5, [[101, 1/2], [103, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a10, 0, 4/5, [[100, 1/2], [102, 1/2]]], [a10, 1, 1/5, [[101, 1/2], [103, 1/2]]], [b10, 0, 1/5, [[100, 1/2], [102, 1/2]]], [b10, 1, 4/5, [[101, 1/2], [103, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
37. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a11, b11], samples=[110, 111, 112, 113], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a11, 0, 4/5, [[110, 1/2], [112, 1/2]]], [a11, 1, 1/5, [[111, 1/2], [113, 1/2]]], [b11, 0, 1/5, [[110, 1/2], [112, 1/2]]], [b11, 1, 4/5, [[111, 1/2], [113, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a11, 0, 4/5, [[110, 1/2], [112, 1/2]]], [a11, 1, 1/5, [[111, 1/2], [113, 1/2]]], [b11, 0, 1/5, [[110, 1/2], [112, 1/2]]], [b11, 1, 4/5, [[111, 1/2], [113, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
38. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a12, b12], samples=[120, 121, 122, 123], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a12, 0, 4/5, [[120, 1/2], [122, 1/2]]], [a12, 1, 1/5, [[121, 1/2], [123, 1/2]]], [b12, 0, 1/5, [[120, 1/2], [122, 1/2]]], [b12, 1, 4/5, [[121, 1/2], [123, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a12, 0, 4/5, [[120, 1/2], [122, 1/2]]], [a12, 1, 1/5, [[121, 1/2], [123, 1/2]]], [b12, 0, 1/5, [[120, 1/2], [122, 1/2]]], [b12, 1, 4/5, [[121, 1/2], [123, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
39. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a13, b13], samples=[130, 131, 132, 133], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a13, 0, 4/5, [[130, 1/2], [132, 1/2]]], [a13, 1, 1/5, [[131, 1/2], [133, 1/2]]], [b13, 0, 1/5, [[130, 1/2], [132, 1/2]]], [b13, 1, 4/5, [[131, 1/2], [133, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a13, 0, 4/5, [[130, 1/2], [132, 1/2]]], [a13, 1, 1/5, [[131, 1/2], [133, 1/2]]], [b13, 0, 1/5, [[130, 1/2], [132, 1/2]]], [b13, 1, 4/5, [[131, 1/2], [133, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
40. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a14, b14], samples=[140, 141, 142, 143], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a14, 0, 4/5, [[140, 1/2], [142, 1/2]]], [a14, 1, 1/5, [[141, 1/2], [143, 1/2]]], [b14, 0, 1/5, [[140, 1/2], [142, 1/2]]], [b14, 1, 4/5, [[141, 1/2], [143, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a14, 0, 4/5, [[140, 1/2], [142, 1/2]]], [a14, 1, 1/5, [[141, 1/2], [143, 1/2]]], [b14, 0, 1/5, [[140, 1/2], [142, 1/2]]], [b14, 1, 4/5, [[141, 1/2], [143, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
41. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a15, b15], samples=[150, 151, 152, 153], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a15, 0, 4/5, [[150, 1/2], [152, 1/2]]], [a15, 1, 1/5, [[151, 1/2], [153, 1/2]]], [b15, 0, 1/5, [[150, 1/2], [152, 1/2]]], [b15, 1, 4/5, [[151, 1/2], [153, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a15, 0, 4/5, [[150, 1/2], [152, 1/2]]], [a15, 1, 1/5, [[151, 1/2], [153, 1/2]]], [b15, 0, 1/5, [[150, 1/2], [152, 1/2]]], [b15, 1, 4/5, [[151, 1/2], [153, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
42. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a16, b16], samples=[160, 161, 162, 163], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a16, 0, 4/5, [[160, 1/2], [162, 1/2]]], [a16, 1, 1/5, [[161, 1/2], [163, 1/2]]], [b16, 0, 1/5, [[160, 1/2], [162, 1/2]]], [b16, 1, 4/5, [[161, 1/2], [163, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a16, 0, 4/5, [[160, 1/2], [162, 1/2]]], [a16, 1, 1/5, [[161, 1/2], [163, 1/2]]], [b16, 0, 1/5, [[160, 1/2], [162, 1/2]]], [b16, 1, 4/5, [[161, 1/2], [163, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
43. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a17, b17], samples=[170, 171, 172, 173], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a17, 0, 4/5, [[170, 1/2], [172, 1/2]]], [a17, 1, 1/5, [[171, 1/2], [173, 1/2]]], [b17, 0, 1/5, [[170, 1/2], [172, 1/2]]], [b17, 1, 4/5, [[171, 1/2], [173, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a17, 0, 4/5, [[170, 1/2], [172, 1/2]]], [a17, 1, 1/5, [[171, 1/2], [173, 1/2]]], [b17, 0, 1/5, [[170, 1/2], [172, 1/2]]], [b17, 1, 4/5, [[171, 1/2], [173, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
44. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a18, b18], samples=[180, 181, 182, 183], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a18, 0, 4/5, [[180, 1/2], [182, 1/2]]], [a18, 1, 1/5, [[181, 1/2], [183, 1/2]]], [b18, 0, 1/5, [[180, 1/2], [182, 1/2]]], [b18, 1, 4/5, [[181, 1/2], [183, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a18, 0, 4/5, [[180, 1/2], [182, 1/2]]], [a18, 1, 1/5, [[181, 1/2], [183, 1/2]]], [b18, 0, 1/5, [[180, 1/2], [182, 1/2]]], [b18, 1, 4/5, [[181, 1/2], [183, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
45. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a19, b19], samples=[190, 191, 192, 193], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a19, 0, 4/5, [[190, 1/2], [192, 1/2]]], [a19, 1, 1/5, [[191, 1/2], [193, 1/2]]], [b19, 0, 1/5, [[190, 1/2], [192, 1/2]]], [b19, 1, 4/5, [[191, 1/2], [193, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a19, 0, 4/5, [[190, 1/2], [192, 1/2]]], [a19, 1, 1/5, [[191, 1/2], [193, 1/2]]], [b19, 0, 1/5, [[190, 1/2], [192, 1/2]]], [b19, 1, 4/5, [[191, 1/2], [193, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
46. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a20, b20], samples=[200, 201, 202, 203], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a20, 0, 4/5, [[200, 1/2], [202, 1/2]]], [a20, 1, 1/5, [[201, 1/2], [203, 1/2]]], [b20, 0, 1/5, [[200, 1/2], [202, 1/2]]], [b20, 1, 4/5, [[201, 1/2], [203, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a20, 0, 4/5, [[200, 1/2], [202, 1/2]]], [a20, 1, 1/5, [[201, 1/2], [203, 1/2]]], [b20, 0, 1/5, [[200, 1/2], [202, 1/2]]], [b20, 1, 4/5, [[201, 1/2], [203, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
47. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a21, b21], samples=[210, 211, 212, 213], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a21, 0, 4/5, [[210, 1/2], [212, 1/2]]], [a21, 1, 1/5, [[211, 1/2], [213, 1/2]]], [b21, 0, 1/5, [[210, 1/2], [212, 1/2]]], [b21, 1, 4/5, [[211, 1/2], [213, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a21, 0, 4/5, [[210, 1/2], [212, 1/2]]], [a21, 1, 1/5, [[211, 1/2], [213, 1/2]]], [b21, 0, 1/5, [[210, 1/2], [212, 1/2]]], [b21, 1, 4/5, [[211, 1/2], [213, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
48. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a22, b22], samples=[220, 221, 222, 223], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a22, 0, 4/5, [[220, 1/2], [222, 1/2]]], [a22, 1, 1/5, [[221, 1/2], [223, 1/2]]], [b22, 0, 1/5, [[220, 1/2], [222, 1/2]]], [b22, 1, 4/5, [[221, 1/2], [223, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a22, 0, 4/5, [[220, 1/2], [222, 1/2]]], [a22, 1, 1/5, [[221, 1/2], [223, 1/2]]], [b22, 0, 1/5, [[220, 1/2], [222, 1/2]]], [b22, 1, 4/5, [[221, 1/2], [223, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
49. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a23, b23], samples=[230, 231, 232, 233], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a23, 0, 4/5, [[230, 1/2], [232, 1/2]]], [a23, 1, 1/5, [[231, 1/2], [233, 1/2]]], [b23, 0, 1/5, [[230, 1/2], [232, 1/2]]], [b23, 1, 4/5, [[231, 1/2], [233, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a23, 0, 4/5, [[230, 1/2], [232, 1/2]]], [a23, 1, 1/5, [[231, 1/2], [233, 1/2]]], [b23, 0, 1/5, [[230, 1/2], [232, 1/2]]], [b23, 1, 4/5, [[231, 1/2], [233, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
50. Conditional Laws Are Defined Only on Positive-Mass Statistic Cells
Use complete theta labels=[a24, b24], samples=[240, 241, 242, 243], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (conditional_cells, boundary).
A zero-mass conditional law is undefined and encoded as null, not an empty table, zero distribution or a value obtained by division by zero.
View answer and explanation
([[a24, 0, 4/5, [[240, 1/2], [242, 1/2]]], [a24, 1, 1/5, [[241, 1/2], [243, 1/2]]], [b24, 0, 1/5, [[240, 1/2], [242, 1/2]]], [b24, 1, 4/5, [[241, 1/2], [243, 1/2]]]], zero_mass_cells_remain_undefined)
For every theta and fiber first sum its mass. On a positive-mass cell divide each aligned sample mass by the fiber mass. For mass0 retain null as the encoding of an undefined conditional law, not a fabricated zero distribution or empty table. The exact result, retaining the requested order, is ([[a24, 0, 4/5, [[240, 1/2], [242, 1/2]]], [a24, 1, 1/5, [[241, 1/2], [243, 1/2]]], [b24, 0, 1/5, [[240, 1/2], [242, 1/2]]], [b24, 1, 4/5, [[241, 1/2], [243, 1/2]]]], zero_mass_cells_remain_undefined).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-conditional-table · candidate
51. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a0, b0], samples=[0, 1, 2, 3], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a0, [[0, 1/2], [2, 1/2]]], [b0, [[0, 1/2], [2, 1/2]]]], Yes], [1, [[a0, [[1, 1/2], [3, 1/2]]], [b0, [[1, 1/2], [3, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a0, [[0, 1/2], [2, 1/2]]], [b0, [[0, 1/2], [2, 1/2]]]], Yes], [1, [[a0, [[1, 1/2], [3, 1/2]]], [b0, [[1, 1/2], [3, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
52. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a1, b1], samples=[10, 11, 12, 13], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a1, [[10, 1/2], [12, 1/2]]], [b1, [[10, 1/2], [12, 1/2]]]], Yes], [1, [[a1, [[11, 1/2], [13, 1/2]]], [b1, [[11, 1/2], [13, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a1, [[10, 1/2], [12, 1/2]]], [b1, [[10, 1/2], [12, 1/2]]]], Yes], [1, [[a1, [[11, 1/2], [13, 1/2]]], [b1, [[11, 1/2], [13, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
53. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a2, b2], samples=[20, 21, 22, 23], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a2, [[20, 1/2], [22, 1/2]]], [b2, [[20, 1/2], [22, 1/2]]]], Yes], [1, [[a2, [[21, 1/2], [23, 1/2]]], [b2, [[21, 1/2], [23, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a2, [[20, 1/2], [22, 1/2]]], [b2, [[20, 1/2], [22, 1/2]]]], Yes], [1, [[a2, [[21, 1/2], [23, 1/2]]], [b2, [[21, 1/2], [23, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
54. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a3, b3], samples=[30, 31, 32, 33], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a3, [[30, 1/2], [32, 1/2]]], [b3, [[30, 1/2], [32, 1/2]]]], Yes], [1, [[a3, [[31, 1/2], [33, 1/2]]], [b3, [[31, 1/2], [33, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a3, [[30, 1/2], [32, 1/2]]], [b3, [[30, 1/2], [32, 1/2]]]], Yes], [1, [[a3, [[31, 1/2], [33, 1/2]]], [b3, [[31, 1/2], [33, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
55. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a4, b4], samples=[40, 41, 42, 43], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a4, [[40, 1/2], [42, 1/2]]], [b4, [[40, 1/2], [42, 1/2]]]], Yes], [1, [[a4, [[41, 1/2], [43, 1/2]]], [b4, [[41, 1/2], [43, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a4, [[40, 1/2], [42, 1/2]]], [b4, [[40, 1/2], [42, 1/2]]]], Yes], [1, [[a4, [[41, 1/2], [43, 1/2]]], [b4, [[41, 1/2], [43, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
56. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a5, b5], samples=[50, 51, 52, 53], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a5, [[50, 1/2], [52, 1/2]]], [b5, [[50, 1/2], [52, 1/2]]]], Yes], [1, [[a5, [[51, 1/2], [53, 1/2]]], [b5, [[51, 1/2], [53, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a5, [[50, 1/2], [52, 1/2]]], [b5, [[50, 1/2], [52, 1/2]]]], Yes], [1, [[a5, [[51, 1/2], [53, 1/2]]], [b5, [[51, 1/2], [53, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
57. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a6, b6], samples=[60, 61, 62, 63], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a6, [[60, 1/2], [62, 1/2]]], [b6, [[60, 1/2], [62, 1/2]]]], Yes], [1, [[a6, [[61, 1/2], [63, 1/2]]], [b6, [[61, 1/2], [63, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a6, [[60, 1/2], [62, 1/2]]], [b6, [[60, 1/2], [62, 1/2]]]], Yes], [1, [[a6, [[61, 1/2], [63, 1/2]]], [b6, [[61, 1/2], [63, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
58. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a7, b7], samples=[70, 71, 72, 73], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a7, [[70, 1/2], [72, 1/2]]], [b7, [[70, 1/2], [72, 1/2]]]], Yes], [1, [[a7, [[71, 1/2], [73, 1/2]]], [b7, [[71, 1/2], [73, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a7, [[70, 1/2], [72, 1/2]]], [b7, [[70, 1/2], [72, 1/2]]]], Yes], [1, [[a7, [[71, 1/2], [73, 1/2]]], [b7, [[71, 1/2], [73, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
59. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a8, b8], samples=[80, 81, 82, 83], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a8, [[80, 1/2], [82, 1/2]]], [b8, [[80, 1/2], [82, 1/2]]]], Yes], [1, [[a8, [[81, 1/2], [83, 1/2]]], [b8, [[81, 1/2], [83, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a8, [[80, 1/2], [82, 1/2]]], [b8, [[80, 1/2], [82, 1/2]]]], Yes], [1, [[a8, [[81, 1/2], [83, 1/2]]], [b8, [[81, 1/2], [83, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
60. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a9, b9], samples=[90, 91, 92, 93], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a9, [[90, 1/2], [92, 1/2]]], [b9, [[90, 1/2], [92, 1/2]]]], Yes], [1, [[a9, [[91, 1/2], [93, 1/2]]], [b9, [[91, 1/2], [93, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a9, [[90, 1/2], [92, 1/2]]], [b9, [[90, 1/2], [92, 1/2]]]], Yes], [1, [[a9, [[91, 1/2], [93, 1/2]]], [b9, [[91, 1/2], [93, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
61. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a10, b10], samples=[100, 101, 102, 103], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a10, [[100, 1/2], [102, 1/2]]], [b10, [[100, 1/2], [102, 1/2]]]], Yes], [1, [[a10, [[101, 1/2], [103, 1/2]]], [b10, [[101, 1/2], [103, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a10, [[100, 1/2], [102, 1/2]]], [b10, [[100, 1/2], [102, 1/2]]]], Yes], [1, [[a10, [[101, 1/2], [103, 1/2]]], [b10, [[101, 1/2], [103, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
62. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a11, b11], samples=[110, 111, 112, 113], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a11, [[110, 1/2], [112, 1/2]]], [b11, [[110, 1/2], [112, 1/2]]]], Yes], [1, [[a11, [[111, 1/2], [113, 1/2]]], [b11, [[111, 1/2], [113, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a11, [[110, 1/2], [112, 1/2]]], [b11, [[110, 1/2], [112, 1/2]]]], Yes], [1, [[a11, [[111, 1/2], [113, 1/2]]], [b11, [[111, 1/2], [113, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
63. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a12, b12], samples=[120, 121, 122, 123], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a12, [[120, 1/2], [122, 1/2]]], [b12, [[120, 1/2], [122, 1/2]]]], Yes], [1, [[a12, [[121, 1/2], [123, 1/2]]], [b12, [[121, 1/2], [123, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a12, [[120, 1/2], [122, 1/2]]], [b12, [[120, 1/2], [122, 1/2]]]], Yes], [1, [[a12, [[121, 1/2], [123, 1/2]]], [b12, [[121, 1/2], [123, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
64. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a13, b13], samples=[130, 131, 132, 133], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a13, [[130, 1/2], [132, 1/2]]], [b13, [[130, 1/2], [132, 1/2]]]], Yes], [1, [[a13, [[131, 1/2], [133, 1/2]]], [b13, [[131, 1/2], [133, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a13, [[130, 1/2], [132, 1/2]]], [b13, [[130, 1/2], [132, 1/2]]]], Yes], [1, [[a13, [[131, 1/2], [133, 1/2]]], [b13, [[131, 1/2], [133, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
65. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a14, b14], samples=[140, 141, 142, 143], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a14, [[140, 1/2], [142, 1/2]]], [b14, [[140, 1/2], [142, 1/2]]]], Yes], [1, [[a14, [[141, 1/2], [143, 1/2]]], [b14, [[141, 1/2], [143, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a14, [[140, 1/2], [142, 1/2]]], [b14, [[140, 1/2], [142, 1/2]]]], Yes], [1, [[a14, [[141, 1/2], [143, 1/2]]], [b14, [[141, 1/2], [143, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
66. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a15, b15], samples=[150, 151, 152, 153], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a15, [[150, 1/2], [152, 1/2]]], [b15, [[150, 1/2], [152, 1/2]]]], Yes], [1, [[a15, [[151, 1/2], [153, 1/2]]], [b15, [[151, 1/2], [153, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a15, [[150, 1/2], [152, 1/2]]], [b15, [[150, 1/2], [152, 1/2]]]], Yes], [1, [[a15, [[151, 1/2], [153, 1/2]]], [b15, [[151, 1/2], [153, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
67. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a16, b16], samples=[160, 161, 162, 163], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a16, [[160, 1/2], [162, 1/2]]], [b16, [[160, 1/2], [162, 1/2]]]], Yes], [1, [[a16, [[161, 1/2], [163, 1/2]]], [b16, [[161, 1/2], [163, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a16, [[160, 1/2], [162, 1/2]]], [b16, [[160, 1/2], [162, 1/2]]]], Yes], [1, [[a16, [[161, 1/2], [163, 1/2]]], [b16, [[161, 1/2], [163, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
68. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a17, b17], samples=[170, 171, 172, 173], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a17, [[170, 1/2], [172, 1/2]]], [b17, [[170, 1/2], [172, 1/2]]]], Yes], [1, [[a17, [[171, 1/2], [173, 1/2]]], [b17, [[171, 1/2], [173, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a17, [[170, 1/2], [172, 1/2]]], [b17, [[170, 1/2], [172, 1/2]]]], Yes], [1, [[a17, [[171, 1/2], [173, 1/2]]], [b17, [[171, 1/2], [173, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
69. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a18, b18], samples=[180, 181, 182, 183], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a18, [[180, 1/2], [182, 1/2]]], [b18, [[180, 1/2], [182, 1/2]]]], Yes], [1, [[a18, [[181, 1/2], [183, 1/2]]], [b18, [[181, 1/2], [183, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a18, [[180, 1/2], [182, 1/2]]], [b18, [[180, 1/2], [182, 1/2]]]], Yes], [1, [[a18, [[181, 1/2], [183, 1/2]]], [b18, [[181, 1/2], [183, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
70. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a19, b19], samples=[190, 191, 192, 193], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a19, [[190, 1/2], [192, 1/2]]], [b19, [[190, 1/2], [192, 1/2]]]], Yes], [1, [[a19, [[191, 1/2], [193, 1/2]]], [b19, [[191, 1/2], [193, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a19, [[190, 1/2], [192, 1/2]]], [b19, [[190, 1/2], [192, 1/2]]]], Yes], [1, [[a19, [[191, 1/2], [193, 1/2]]], [b19, [[191, 1/2], [193, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
71. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a20, b20], samples=[200, 201, 202, 203], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a20, [[200, 1/2], [202, 1/2]]], [b20, [[200, 1/2], [202, 1/2]]]], Yes], [1, [[a20, [[201, 1/2], [203, 1/2]]], [b20, [[201, 1/2], [203, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a20, [[200, 1/2], [202, 1/2]]], [b20, [[200, 1/2], [202, 1/2]]]], Yes], [1, [[a20, [[201, 1/2], [203, 1/2]]], [b20, [[201, 1/2], [203, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
72. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a21, b21], samples=[210, 211, 212, 213], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a21, [[210, 1/2], [212, 1/2]]], [b21, [[210, 1/2], [212, 1/2]]]], Yes], [1, [[a21, [[211, 1/2], [213, 1/2]]], [b21, [[211, 1/2], [213, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a21, [[210, 1/2], [212, 1/2]]], [b21, [[210, 1/2], [212, 1/2]]]], Yes], [1, [[a21, [[211, 1/2], [213, 1/2]]], [b21, [[211, 1/2], [213, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
73. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a22, b22], samples=[220, 221, 222, 223], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a22, [[220, 1/2], [222, 1/2]]], [b22, [[220, 1/2], [222, 1/2]]]], Yes], [1, [[a22, [[221, 1/2], [223, 1/2]]], [b22, [[221, 1/2], [223, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a22, [[220, 1/2], [222, 1/2]]], [b22, [[220, 1/2], [222, 1/2]]]], Yes], [1, [[a22, [[221, 1/2], [223, 1/2]]], [b22, [[221, 1/2], [223, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
74. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a23, b23], samples=[230, 231, 232, 233], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a23, [[230, 1/2], [232, 1/2]]], [b23, [[230, 1/2], [232, 1/2]]]], Yes], [1, [[a23, [[231, 1/2], [233, 1/2]]], [b23, [[231, 1/2], [233, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a23, [[230, 1/2], [232, 1/2]]], [b23, [[230, 1/2], [232, 1/2]]]], Yes], [1, [[a23, [[231, 1/2], [233, 1/2]]], [b23, [[231, 1/2], [233, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
75. Sufficiency Requires Theta Invariance in Every Positive-Mass Fiber
Use complete theta labels=[a24, b24], samples=[240, 241, 242, 243], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Give (fiber_invariance_rows, sufficient, certificate).
View answer and explanation
([[0, [[a24, [[240, 1/2], [242, 1/2]]], [b24, [[240, 1/2], [242, 1/2]]]], Yes], [1, [[a24, [[241, 1/2], [243, 1/2]]], [b24, [[241, 1/2], [243, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell)
For each statistic value compare the complete conditional laws only among theta values where that cell has positive mass. Every fiber must pass; zero-mass theta cells are not assigned invented conditional laws. No factorization theorem or estimator-quality claim is added. The exact result, retaining the requested order, is ([[0, [[a24, [[240, 1/2], [242, 1/2]]], [b24, [[240, 1/2], [242, 1/2]]]], Yes], [1, [[a24, [[241, 1/2], [243, 1/2]]], [b24, [[241, 1/2], [243, 1/2]]]], Yes]], Yes, conditional_law_must_be_theta_independent_on_every_positive_mass_cell).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-invariance · candidate
76. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a0, b0], samples=[0, 1, 2, 3], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a0, [[0, 3/4], [2, 1/4]]], [b0, [[0, 1/2], [2, 1/2]]]], No], [1, [[a0, [[1, 1/2], [3, 1/2]]], [b0, [[1, 1/2], [3, 1/2]]]], Yes]], No, [], [0, [[a0, [[0, 3/4], [2, 1/4]]], [b0, [[0, 1/2], [2, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a0, [[0, 3/4], [2, 1/4]]], [b0, [[0, 1/2], [2, 1/2]]]], No], [1, [[a0, [[1, 1/2], [3, 1/2]]], [b0, [[1, 1/2], [3, 1/2]]]], Yes]], No, [], [0, [[a0, [[0, 3/4], [2, 1/4]]], [b0, [[0, 1/2], [2, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
77. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a1, b1], samples=[10, 11, 12, 13], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(zero_mass, [[0, [[a1, [[10, 1/2], [12, 1/2]]]], Yes], [1, [[b1, [[11, 1/2], [13, 1/2]]]], Yes]], Yes, [[a1, 1, 0, null], [b1, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (zero_mass, [[0, [[a1, [[10, 1/2], [12, 1/2]]]], Yes], [1, [[b1, [[11, 1/2], [13, 1/2]]]], Yes]], Yes, [[a1, 1, 0, null], [b1, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
78. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a2, b2], samples=[20, 21, 22, 23], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 2, 3]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=identity. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(identity, [[0, [[a2, [[20, 1]]], [b2, [[20, 1]]]], Yes], [1, [[a2, [[21, 1]]], [b2, [[21, 1]]]], Yes], [2, [[a2, [[22, 1]]], [b2, [[22, 1]]]], Yes], [3, [[a2, [[23, 1]]], [b2, [[23, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (identity, [[0, [[a2, [[20, 1]]], [b2, [[20, 1]]]], Yes], [1, [[a2, [[21, 1]]], [b2, [[21, 1]]]], Yes], [2, [[a2, [[22, 1]]], [b2, [[22, 1]]]], Yes], [3, [[a2, [[23, 1]]], [b2, [[23, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
79. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a3, b3], samples=[30, 31, 32, 33], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 0, 0, 0]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=constant. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(constant, [[0, [[a3, [[30, 2/5], [31, 1/10], [32, 2/5], [33, 1/10]]], [b3, [[30, 1/10], [31, 2/5], [32, 1/10], [33, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (constant, [[0, [[a3, [[30, 2/5], [31, 1/10], [32, 2/5], [33, 1/10]]], [b3, [[30, 1/10], [31, 2/5], [32, 1/10], [33, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
80. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a4, b4], samples=[40, 41, 42, 43], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a4, [[40, 3/4], [42, 1/4]]], [b4, [[40, 1/2], [42, 1/2]]]], No], [1, [[a4, [[41, 1/2], [43, 1/2]]], [b4, [[41, 1/2], [43, 1/2]]]], Yes]], No, [], [0, [[a4, [[40, 3/4], [42, 1/4]]], [b4, [[40, 1/2], [42, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a4, [[40, 3/4], [42, 1/4]]], [b4, [[40, 1/2], [42, 1/2]]]], No], [1, [[a4, [[41, 1/2], [43, 1/2]]], [b4, [[41, 1/2], [43, 1/2]]]], Yes]], No, [], [0, [[a4, [[40, 3/4], [42, 1/4]]], [b4, [[40, 1/2], [42, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
81. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a5, b5], samples=[50, 51, 52, 53], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(zero_mass, [[0, [[a5, [[50, 1/2], [52, 1/2]]]], Yes], [1, [[b5, [[51, 1/2], [53, 1/2]]]], Yes]], Yes, [[a5, 1, 0, null], [b5, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (zero_mass, [[0, [[a5, [[50, 1/2], [52, 1/2]]]], Yes], [1, [[b5, [[51, 1/2], [53, 1/2]]]], Yes]], Yes, [[a5, 1, 0, null], [b5, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
82. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a6, b6], samples=[60, 61, 62, 63], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 2, 3]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=identity. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(identity, [[0, [[a6, [[60, 1]]], [b6, [[60, 1]]]], Yes], [1, [[a6, [[61, 1]]], [b6, [[61, 1]]]], Yes], [2, [[a6, [[62, 1]]], [b6, [[62, 1]]]], Yes], [3, [[a6, [[63, 1]]], [b6, [[63, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (identity, [[0, [[a6, [[60, 1]]], [b6, [[60, 1]]]], Yes], [1, [[a6, [[61, 1]]], [b6, [[61, 1]]]], Yes], [2, [[a6, [[62, 1]]], [b6, [[62, 1]]]], Yes], [3, [[a6, [[63, 1]]], [b6, [[63, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
83. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a7, b7], samples=[70, 71, 72, 73], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 0, 0, 0]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=constant. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(constant, [[0, [[a7, [[70, 2/5], [71, 1/10], [72, 2/5], [73, 1/10]]], [b7, [[70, 1/10], [71, 2/5], [72, 1/10], [73, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (constant, [[0, [[a7, [[70, 2/5], [71, 1/10], [72, 2/5], [73, 1/10]]], [b7, [[70, 1/10], [71, 2/5], [72, 1/10], [73, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
84. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a8, b8], samples=[80, 81, 82, 83], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a8, [[80, 3/4], [82, 1/4]]], [b8, [[80, 1/2], [82, 1/2]]]], No], [1, [[a8, [[81, 1/2], [83, 1/2]]], [b8, [[81, 1/2], [83, 1/2]]]], Yes]], No, [], [0, [[a8, [[80, 3/4], [82, 1/4]]], [b8, [[80, 1/2], [82, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a8, [[80, 3/4], [82, 1/4]]], [b8, [[80, 1/2], [82, 1/2]]]], No], [1, [[a8, [[81, 1/2], [83, 1/2]]], [b8, [[81, 1/2], [83, 1/2]]]], Yes]], No, [], [0, [[a8, [[80, 3/4], [82, 1/4]]], [b8, [[80, 1/2], [82, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
85. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a9, b9], samples=[90, 91, 92, 93], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(zero_mass, [[0, [[a9, [[90, 1/2], [92, 1/2]]]], Yes], [1, [[b9, [[91, 1/2], [93, 1/2]]]], Yes]], Yes, [[a9, 1, 0, null], [b9, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (zero_mass, [[0, [[a9, [[90, 1/2], [92, 1/2]]]], Yes], [1, [[b9, [[91, 1/2], [93, 1/2]]]], Yes]], Yes, [[a9, 1, 0, null], [b9, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
86. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a10, b10], samples=[100, 101, 102, 103], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 2, 3]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=identity. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(identity, [[0, [[a10, [[100, 1]]], [b10, [[100, 1]]]], Yes], [1, [[a10, [[101, 1]]], [b10, [[101, 1]]]], Yes], [2, [[a10, [[102, 1]]], [b10, [[102, 1]]]], Yes], [3, [[a10, [[103, 1]]], [b10, [[103, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (identity, [[0, [[a10, [[100, 1]]], [b10, [[100, 1]]]], Yes], [1, [[a10, [[101, 1]]], [b10, [[101, 1]]]], Yes], [2, [[a10, [[102, 1]]], [b10, [[102, 1]]]], Yes], [3, [[a10, [[103, 1]]], [b10, [[103, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
87. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a11, b11], samples=[110, 111, 112, 113], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 0, 0, 0]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=constant. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(constant, [[0, [[a11, [[110, 2/5], [111, 1/10], [112, 2/5], [113, 1/10]]], [b11, [[110, 1/10], [111, 2/5], [112, 1/10], [113, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (constant, [[0, [[a11, [[110, 2/5], [111, 1/10], [112, 2/5], [113, 1/10]]], [b11, [[110, 1/10], [111, 2/5], [112, 1/10], [113, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
88. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a12, b12], samples=[120, 121, 122, 123], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a12, [[120, 3/4], [122, 1/4]]], [b12, [[120, 1/2], [122, 1/2]]]], No], [1, [[a12, [[121, 1/2], [123, 1/2]]], [b12, [[121, 1/2], [123, 1/2]]]], Yes]], No, [], [0, [[a12, [[120, 3/4], [122, 1/4]]], [b12, [[120, 1/2], [122, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a12, [[120, 3/4], [122, 1/4]]], [b12, [[120, 1/2], [122, 1/2]]]], No], [1, [[a12, [[121, 1/2], [123, 1/2]]], [b12, [[121, 1/2], [123, 1/2]]]], Yes]], No, [], [0, [[a12, [[120, 3/4], [122, 1/4]]], [b12, [[120, 1/2], [122, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
89. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a13, b13], samples=[130, 131, 132, 133], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(zero_mass, [[0, [[a13, [[130, 1/2], [132, 1/2]]]], Yes], [1, [[b13, [[131, 1/2], [133, 1/2]]]], Yes]], Yes, [[a13, 1, 0, null], [b13, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (zero_mass, [[0, [[a13, [[130, 1/2], [132, 1/2]]]], Yes], [1, [[b13, [[131, 1/2], [133, 1/2]]]], Yes]], Yes, [[a13, 1, 0, null], [b13, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
90. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a14, b14], samples=[140, 141, 142, 143], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 2, 3]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=identity. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(identity, [[0, [[a14, [[140, 1]]], [b14, [[140, 1]]]], Yes], [1, [[a14, [[141, 1]]], [b14, [[141, 1]]]], Yes], [2, [[a14, [[142, 1]]], [b14, [[142, 1]]]], Yes], [3, [[a14, [[143, 1]]], [b14, [[143, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (identity, [[0, [[a14, [[140, 1]]], [b14, [[140, 1]]]], Yes], [1, [[a14, [[141, 1]]], [b14, [[141, 1]]]], Yes], [2, [[a14, [[142, 1]]], [b14, [[142, 1]]]], Yes], [3, [[a14, [[143, 1]]], [b14, [[143, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
91. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a15, b15], samples=[150, 151, 152, 153], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 0, 0, 0]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=constant. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(constant, [[0, [[a15, [[150, 2/5], [151, 1/10], [152, 2/5], [153, 1/10]]], [b15, [[150, 1/10], [151, 2/5], [152, 1/10], [153, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (constant, [[0, [[a15, [[150, 2/5], [151, 1/10], [152, 2/5], [153, 1/10]]], [b15, [[150, 1/10], [151, 2/5], [152, 1/10], [153, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
92. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a16, b16], samples=[160, 161, 162, 163], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a16, [[160, 3/4], [162, 1/4]]], [b16, [[160, 1/2], [162, 1/2]]]], No], [1, [[a16, [[161, 1/2], [163, 1/2]]], [b16, [[161, 1/2], [163, 1/2]]]], Yes]], No, [], [0, [[a16, [[160, 3/4], [162, 1/4]]], [b16, [[160, 1/2], [162, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a16, [[160, 3/4], [162, 1/4]]], [b16, [[160, 1/2], [162, 1/2]]]], No], [1, [[a16, [[161, 1/2], [163, 1/2]]], [b16, [[161, 1/2], [163, 1/2]]]], Yes]], No, [], [0, [[a16, [[160, 3/4], [162, 1/4]]], [b16, [[160, 1/2], [162, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
93. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a17, b17], samples=[170, 171, 172, 173], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(zero_mass, [[0, [[a17, [[170, 1/2], [172, 1/2]]]], Yes], [1, [[b17, [[171, 1/2], [173, 1/2]]]], Yes]], Yes, [[a17, 1, 0, null], [b17, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (zero_mass, [[0, [[a17, [[170, 1/2], [172, 1/2]]]], Yes], [1, [[b17, [[171, 1/2], [173, 1/2]]]], Yes]], Yes, [[a17, 1, 0, null], [b17, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
94. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a18, b18], samples=[180, 181, 182, 183], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 2, 3]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=identity. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(identity, [[0, [[a18, [[180, 1]]], [b18, [[180, 1]]]], Yes], [1, [[a18, [[181, 1]]], [b18, [[181, 1]]]], Yes], [2, [[a18, [[182, 1]]], [b18, [[182, 1]]]], Yes], [3, [[a18, [[183, 1]]], [b18, [[183, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (identity, [[0, [[a18, [[180, 1]]], [b18, [[180, 1]]]], Yes], [1, [[a18, [[181, 1]]], [b18, [[181, 1]]]], Yes], [2, [[a18, [[182, 1]]], [b18, [[182, 1]]]], Yes], [3, [[a18, [[183, 1]]], [b18, [[183, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
95. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a19, b19], samples=[190, 191, 192, 193], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 0, 0, 0]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=constant. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(constant, [[0, [[a19, [[190, 2/5], [191, 1/10], [192, 2/5], [193, 1/10]]], [b19, [[190, 1/10], [191, 2/5], [192, 1/10], [193, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (constant, [[0, [[a19, [[190, 2/5], [191, 1/10], [192, 2/5], [193, 1/10]]], [b19, [[190, 1/10], [191, 2/5], [192, 1/10], [193, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
96. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a20, b20], samples=[200, 201, 202, 203], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a20, [[200, 3/4], [202, 1/4]]], [b20, [[200, 1/2], [202, 1/2]]]], No], [1, [[a20, [[201, 1/2], [203, 1/2]]], [b20, [[201, 1/2], [203, 1/2]]]], Yes]], No, [], [0, [[a20, [[200, 3/4], [202, 1/4]]], [b20, [[200, 1/2], [202, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a20, [[200, 3/4], [202, 1/4]]], [b20, [[200, 1/2], [202, 1/2]]]], No], [1, [[a20, [[201, 1/2], [203, 1/2]]], [b20, [[201, 1/2], [203, 1/2]]]], Yes]], No, [], [0, [[a20, [[200, 3/4], [202, 1/4]]], [b20, [[200, 1/2], [202, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
97. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a21, b21], samples=[210, 211, 212, 213], aligned exact probability rows=[[[1, 2], 0, [1, 2], 0], [0, [1, 2], 0, [1, 2]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=zero_mass. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(zero_mass, [[0, [[a21, [[210, 1/2], [212, 1/2]]]], Yes], [1, [[b21, [[211, 1/2], [213, 1/2]]]], Yes]], Yes, [[a21, 1, 0, null], [b21, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (zero_mass, [[0, [[a21, [[210, 1/2], [212, 1/2]]]], Yes], [1, [[b21, [[211, 1/2], [213, 1/2]]]], Yes]], Yes, [[a21, 1, 0, null], [b21, 0, 0, null]], null, No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
98. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a22, b22], samples=[220, 221, 222, 223], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 2, 3]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=identity. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(identity, [[0, [[a22, [[220, 1]]], [b22, [[220, 1]]]], Yes], [1, [[a22, [[221, 1]]], [b22, [[221, 1]]]], Yes], [2, [[a22, [[222, 1]]], [b22, [[222, 1]]]], Yes], [3, [[a22, [[223, 1]]], [b22, [[223, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (identity, [[0, [[a22, [[220, 1]]], [b22, [[220, 1]]]], Yes], [1, [[a22, [[221, 1]]], [b22, [[221, 1]]]], Yes], [2, [[a22, [[222, 1]]], [b22, [[222, 1]]]], Yes], [3, [[a22, [[223, 1]]], [b22, [[223, 1]]]], Yes]], Yes, [], null, Yes, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
99. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a23, b23], samples=[230, 231, 232, 233], aligned exact probability rows=[[[2, 5], [1, 10], [2, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 0, 0, 0]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=constant. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(constant, [[0, [[a23, [[230, 2/5], [231, 1/10], [232, 2/5], [233, 1/10]]], [b23, [[230, 1/10], [231, 2/5], [232, 1/10], [233, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (constant, [[0, [[a23, [[230, 2/5], [231, 1/10], [232, 2/5], [233, 1/10]]], [b23, [[230, 1/10], [231, 2/5], [232, 1/10], [233, 2/5]]]], No]], No, [], null, No, Yes, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
100. Nonsufficiency, Zero Mass, Identity and Constant Statistics Need Separate Checks
Use complete theta labels=[a24, b24], samples=[240, 241, 242, 243], aligned exact probability rows=[[[3, 5], [1, 10], [1, 5], [1, 10]], [[1, 10], [2, 5], [1, 10], [2, 5]]] and total statistic=[0, 1, 0, 1]. Each theta law is normalized. Fibers partition the full sample carrier, retaining zero-mass cells. Mode=nonsufficient. Give (mode, fiber_invariance_rows, sufficient, zero_mass_cells, nonsufficiency_witness_or_null, injective_statistic, constant_statistic, theta_laws_equal, constant_equivalence_if_applicable, factorization_or_quality_claim, boundary).
Compare positive-mass theta cells within each fiber; zero-mass cells stay null. constant_equivalence_if_applicable tests sufficiency versus equal laws only in constant mode; other modes retain a source true placeholder, not a new theorem.
View answer and explanation
(nonsufficient, [[0, [[a24, [[240, 3/4], [242, 1/4]]], [b24, [[240, 1/2], [242, 1/2]]]], No], [1, [[a24, [[241, 1/2], [243, 1/2]]], [b24, [[241, 1/2], [243, 1/2]]]], Yes]], No, [], [0, [[a24, [[240, 3/4], [242, 1/4]]], [b24, [[240, 1/2], [242, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim)
Retain every invariance row, zero-mass cells and an explicit failing fiber for nonsufficient. An injective identity statistic is sufficient. A constant statistic is sufficient exactly when all theta laws agree. The constant-equivalence slot checks that equivalence only in constant mode; other modes retain the source true placeholder, not an additional theorem. Neither sufficiency nor data reduction by itself certifies estimator quality. The exact result, retaining the requested order, is (nonsufficient, [[0, [[a24, [[240, 3/4], [242, 1/4]]], [b24, [[240, 1/2], [242, 1/2]]]], No], [1, [[a24, [[241, 1/2], [243, 1/2]]], [b24, [[241, 1/2], [243, 1/2]]]], Yes]], No, [], [0, [[a24, [[240, 3/4], [242, 1/4]]], [b24, [[240, 1/2], [242, 1/2]]]], No], No, No, No, Yes, No, identity_is_sufficient_constant_is_sufficient_exactly_when_theta_laws_match_no_factorization_or_estimator_quality_claim).
Reviewed step-by-step derivation
Sufficient statistic in a finite model · qf-mod47-suff-nonsufficient-zero-boundary · candidate
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