Use mode=zero_variance and complete model={"value":-2,"n":4}. Give (mode, constant_value, n, variance, standardization_obstruction, this_standardization_claim).
G001 — Use mode=zero_variance and complete model={"value":-2,"n":4}. Give (mode, constant_value, n, variance, standardization_obstruction, this_standardization_claim).
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.
derived = [[mode, constant_value, n, variance, standardization_obstruction, this_standardization_claim]]
Conditions: none
List the complete source field order and mode-specific roles without JavaScript or answer-shape inference;No,undefined and infinity retain their distinct meanings.
A constant marginal has sigma=0,so standardization divides by0 and cannot be a standard-normal variable.Here undefined is the SOURCE description,not an invented null for a computable field.
S002 · premise_and_result_audit — Reverse-check the complete original data,step operands and premises;finite checks,conditional named-theorem use and general formal proof remain distinct.
S001 · premise_and_result_audit — Reverse-check the complete original data,step operands and premises;finite checks,conditional named-theorem use and general formal proof remain distinct.
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.