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Question 17857: Equal Numeric Indices Do Not Give Parameters and Observations the Same Role

On this page
  1. Original question and givens
  2. Definition and scope
  3. Step-by-step derivation
  4. Reverse checks
  5. Result
  6. This question review and source binding

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R0034-17857 · q-20261014-advance-20261103-r04-parametric-statistical-model-0082

Original question and givens

Use parameter indices=Fin(2)={0,…,1} and one shared outcome space=Fin(3)={0,…,2}, with the complete parameter-by-outcome candidate law table=[[1/10, 1/10, 8/10], [1/2, 1/3, 1/6]]. Every row must be nonnegative and sum exactly to 1 before the table qualifies as a statistical model. Keep parameter and observation roles distinct even when their numeric indices agree. A likelihood fixes the observed outcome and varies the parameter; no prior, posterior, identifiability or inferential optimality is implied. Rational computations are exact. parameter=0, outcome=0. Give (parameter,outcome,parameter_index,observed_outcome,law_value,same_role?,parameter_not_observation_and_likelihood_not_posterior).

  • G001 — Use parameter indices=Fin(2)={0,…,1} and one shared outcome space=Fin(3)={0,…,2}, with the complete parameter-by-outcome candidate law table=[[1/10, 1/10, 8/10], [1/2, 1/3, 1/6]]. Every row must be nonnegative and sum exactly to 1 before the table qualifies as a statistical model. Keep parameter and observation roles distinct even when their numeric indices agree. A likelihood fixes the observed outcome and varies the parameter; no prior, posterior, identifiability or inferential optimality is implied. Rational computations are exact. parameter=0, outcome=0. Give (parameter,outcome,parameter_index,observed_outcome,law_value,same_role?,parameter_not_observation_and_likelihood_not_posterior).

Definition and scope

Use the original question domain, assumptions and cited MKO definitions. This item has second-context mathematical and bilingual review, with the model, answer and every arithmetic step independently recomputed from the original parameters; the source question remains a candidate.

Step-by-step derivation

S001 · calculation

Before

parameter0 complete outcome mass sum := sum(1/10, 1/10, 4/5)

After

parameter0 complete outcome mass sum = 1

Conditions: none

Compute exactly from original roles and established intermediates,retaining denominators,signs,indices and strict conditions.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001

S002 · implies

Before

original parameter row=0;SAME outcome carrier Fin(3);original aligned rational entries=[[1, 10], [1, 10], [8, 10]]

After

reduced rational candidate entries=[1/10, 1/10, 4/5];sum=1;nonnegative=Yes;row qualified=Yes

Conditions: none

Every parameter needs a complete nonnegative unit-mass law on the same sample space.Invalid candidate rows retain their values and false flags;the name law table does not normalize them.

Step identifiers and dependencies

Rule: statmodel_every_parameter_law_same_observation_space · Uses: G001, S001

S003 · calculation

Before

parameter1 complete outcome mass sum := sum(1/2, 1/3, 1/6)

After

parameter1 complete outcome mass sum = 1

Conditions: none

Compute exactly from original roles and established intermediates,retaining denominators,signs,indices and strict conditions.

Step identifiers and dependencies

Rule: exact_rational_arithmetic · Uses: G001, S002

S004 · implies

Before

original parameter row=1;SAME outcome carrier Fin(3);original aligned rational entries=[[1, 2], [1, 3], [1, 6]]

After

reduced rational candidate entries=[1/2, 1/3, 1/6];sum=1;nonnegative=Yes;row qualified=Yes

Conditions: none

Every parameter needs a complete nonnegative unit-mass law on the same sample space.Invalid candidate rows retain their values and false flags;the name law table does not normalize them.

Step identifiers and dependencies

Rule: statmodel_every_parameter_law_same_observation_space · Uses: G001, S003

S005 · implies

Before

original parameter carrier Fin(2);common outcome carrier Fin(3);ALL original row audits=[[0, [1/10, 1/10, 4/5], 1, Yes], [1, [1/2, 1/3, 1/6], 1, Yes]]

After

whole model qualified=Yes;common_sample_space;no parameter prior or posterior supplied

Conditions: none

Conjoin all row qualifications.Parameter indices do not thereby become a probability-distributed random variable.No parameter prior or posterior is supplied;do not normalize across parameters by default.

Step identifiers and dependencies

Rule: statmodel_whole_table_qualification_no_parameter_prior · Uses: G001, S004

S006 · implies

Before

original parameter index=0;original observed-outcome index=0;candidate full row=[1/10, 1/10, 4/5]

After

raw candidate cell=1/10;whole-table qualification remains=Yes

Conditions: none

Select the row by parameter and the column by outcome.A raw cell in an invalid candidate table is not automatically a qualified probability and does not repair the model.

Step identifiers and dependencies

Rule: statmodel_original_row_column_cell_not_model_repair · Uses: G001, S005

S007 · implies

Before

numeric labels parameter=0;outcome=0;numeric equality=Yes;same raw cell=1/10

After

parameter role=parameter_index;outcome role=observed_outcome;same semantic role=No;parameter_not_observation_and_likelihood_not_posterior

Conditions: none

Even numeric0 can label different roles:a parameter selects a law and an outcome is an observation under it.The No distinguishes semantic roles,not numerical inequality.

Step identifiers and dependencies

Rule: statmodel_distinct_semantic_roles_even_equal_numbers · Uses: G001, S006

Reverse checks

  • S007 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S006 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S005 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S004 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S003 · premise_and_result_audit — Recompute parameter1 complete outcome mass sum with exact rational arithmetic, not rounded decimals.
  • S002 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.
  • S001 · premise_and_result_audit — Recompute parameter0 complete outcome mass sum with exact rational arithmetic, not rounded decimals.

Result

(0, 0, parameter_index, observed_outcome, 1/10, No, parameter_not_observation_and_likelihood_not_posterior)

The full substitutions and premise checks give the original answer; source identity,format and status are unchanged.

This question review and source binding

Review date: 2026-10-26

Original questions, answers, step expressions, numeric ASTs and historical records are retained. Source candidate labels remain historical and are not overwritten as formal proof.

Source hashes and review receipts
  • input commit: 0f7be61e2c22317a4075561dc822c87d881a50db
  • original question SHA-256: d3e0a6f05c6722254292b848820be87ceb54e99418dca1faab6d48d160cd2044
  • candidate record SHA-256: 113c21f9967e4c3e500629e37b8a86f1b34996c02e888fe1c4a10ca3c0a35137
  • semantic review receipt SHA-256: f73d099ebe3ff1c69a5d96f08c75b11b9e5b05120af40cf3ef388fce3b5c5336
  • question-first witness SHA-256: 22675ffb6209b4fea076032b29b96e3dc19aad4244c54493f5f65f5e5d875699
  • Lean: NOT_RUN · human review: NOT_PERFORMED
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