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R0005-03184 · q-20261003-advance-20261004-r07-conditional-probability-0034
The nonempty finite sample space is S={-4, -3, -2, -1, 0, 1}, with event family F=𝒫(S). All elementary outcomes are explicitly equiprobable. A={-4} and B={0, 1} is nonempty. Compute P(A|B) as a reduced fraction with positive denominator.
G001 — The nonempty finite sample space is S={-4, -3, -2, -1, 0, 1}, with event family F=𝒫(S). All elementary outcomes are explicitly equiprobable. A={-4} and B={0, 1} is nonempty. Compute P(A|B) as a reduced fraction with positive denominator.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.
Before
S={-4, -3, -2, -1, 0, 1};A={-4};B={0, 1};F=𝒫(S)After
events are declared subsets;conditioning needs P(B)>0
Conditions: none
𝒫(S) is the full event powerset,not a probability value.A nonempty event may have probability0.When checking B's eligibility,do not invent an unspecified A.
Rule: conditional_model_domain · Uses: G001
Before
A={-4};B={0, 1}After
A∩B=∅
Conditions: none
The intersection keeps outcomes in both events;neither a union nor independence is assumed.
Rule: explicit_event_intersection · Uses: G001, S001
Before
all elementary outcomes explicitly equiprobable
After
P(A∩B)=|A∩B|/6;P(B)=|B|/6
Conditions: none
Only explicit equiprobability permits the cardinality ratio;nonempty B then has positive probability.
Rule: equiprobable_counting_premise · Uses: G001, S002
Before
uniform conditional probability := div(0, 2)
After
uniform conditional probability = 0
Conditions: none
Cancel the common positive denominator |S|,leaving intersection count divided by conditioning count.
Rule: exact_rational_arithmetic · Uses: G001, S003
S004 · premise_and_result_audit — Recompute uniform conditional probability with exact rational arithmetic, not rounded decimals.S003 · premise_and_result_audit — Check against the original data and this step's premises; a one-way implication is not an equivalence.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 — Check against the original data and this step's premises; a one-way implication is not an equivalence.0/1
The full substitutions and premise checks give the original answer; source identity,format and status are unchanged.
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.
input commit: 0f7be61e2c22317a4075561dc822c87d881a50dboriginal question SHA-256: 87876855d778cea306f5bc1cd1815dbac02f97e8cc1616646d09899f72cf0a1bcandidate record SHA-256: ba257a1370c04e89dc8d4871fc6c80a0f423dc9df60edb619f36ecb5134addd2semantic review receipt SHA-256: 5d74de11610ebc6037a4fc9946d77154d4ed18389f8f0feeb823148b6320c4c2question-first witness SHA-256: 1fba4ab0f13c2cfcc4d9fdebe492c442d43dd45700394a443daa28f333355ed9Lean: NOT_RUN · human review: NOT_PERFORMED