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=[[1/21, 1/21, 19/21], [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=1, outcome=2. Give (parameter,outcome,probability,model_qualified?).
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=[[1/21, 1/21, 19/21], [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=1, outcome=2. Give (parameter,outcome,probability,model_qualified?).
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.
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.
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.
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.
original parameter index=1;original observed-outcome index=2;candidate full row=[1/2, 1/3, 1/6]
After
raw candidate cell=1/6;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.
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
(1, 2, 1/6, Yes)
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.