This Exam P sample reference tests Sampling Without Replacement. For the fourth damaged item to appear in position 12, exactly three of the first eleven positions and three of the last eight positions must be damaged. The resulting combination ratio is 0.11920, choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.079 is the with-replacement negative-binomial calculation C(11,3)(7/20)⁴(13/20)⁸. The damaged fraction changes under sampling without replacement.
CThe value 0.237 is approximately the with-replacement binomial probability of four damaged items among the first twelve. It neither respects depletion nor requires the fourth one at position 12.
DThe value 0.243 uses an incorrect remaining-composition factor. After exactly three damaged items in the first eleven, the next-item damaged probability is 4/9.
EThe value 0.358 is the hypergeometric probability of exactly four damaged items among the first twelve. It allows the fourth damaged item at any of those twelve positions.
Original practice · fully worked
Original variant: conditional marked-token count
A box contains 15 tokens, of which 5 are marked. Six tokens are selected uniformly without replacement. Given that the selection contains at least one marked token, determine the probability that it contains exactly two marked tokens.
A 0.04196
B 0.41958
C 0.43796
D 0.56204
E 0.95804
Variant answer in brief
The unconditional two-mark probability is C(5,2)C(10,4)/C(15,6), while the conditioning probability excludes the all-unmarked sample. Their ratio is 0.43796, choice C.
Setup
Setup
Let X count marked tokens in the six-token sample.
X∼Hypergeometric(15,5,6)
Model
Model
Write the target mass and the positive-count conditioning probability.
Pr(X=2)=(615)(25)(410)
Pr(X≥1)=1−(615)(610)
Compute
Compute
Cancel the common sample-space denominator before evaluating.
Pr(X=2∣X≥1)=(615)−(610)(25)(410)
Pr(X=2∣X≥1)=47952100=0.4379562
Answer
Answer
The conditional probability is approximately 0.43796.
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