This Exam P sample reference tests Binomial Distribution. For one subject, the stopping probability is q=3p²(1-p)+p³. Reaching subject n requires n-1 nonstopping outcomes followed by one stopping outcome, so the probability is (1-q)ⁿ⁻¹q, choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis expression uses 3p²(1-p) as the stopping probability and omits the p³ case in which all three indicators are positive.
CThis reverses the geometric roles, using one continuation and n-1 stopping outcomes. Only the final tested subject should be a stopping outcome.
DThis is the correct geometric expression multiplied by n. The stopping position is fixed at n, so there are not n possible placements.
EThis tracks first positives for the three indicators separately. The stopping rule is a within-subject count, not an ordering of indicator-specific first hits.
Original practice · fully worked
Original variant: exactly one rejected batch
A workshop examines five independent batches. Each batch contains three modules, and each module independently fails inspection with probability 0.20. A batch is rejected when at least two of its modules fail. What is the chance that the rejection count among the five batches equals one?
A 0.0670
B 0.1040
C 0.3351
D 0.4659
E 0.5775
Variant answer in brief
A batch is rejected with probability q=3(0.2)²(0.8)+(0.2)³=0.104. A Binomial(5,q) count equals one with probability 5q(1-q)⁴=0.335147, choice C.
Setup
Setup
First find the rejection probability for a single batch.
q=Pr(two failures)+Pr(three failures)
Model
Model
The number of rejected batches is binomial because the five batches are independent.
q=(23)(0.2)2(0.8)+(0.2)3=0.104
R∼Binomial(5,0.104)
Compute
Compute
Evaluate the probability mass at one rejection.
Pr(R=1)=(15)(0.104)(0.896)4
=0.3351470355
Answer
Answer
Exactly one rejected batch has probability 0.3351.
The 3108-page Probability Proof Manual reorganizes 718 verified Exam P solutions by syllabus skill and adds formula proofs, error patterns, and original worked practice.