This Exam P sample reference tests Conditional Probability. Let N be the number of adverse outcomes among the three independent trials. Dividing the expanded probability for N=1 by the expanded positive-count probability and cancelling p gives 3(1-p) squared over p squared minus 3p plus 3. This is algebraically equivalent to choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis is the chance that the other two trials avoid the adverse outcome after a particular trial is fixed as adverse; it omits both the three possible positions and the conditioning denominator.
BThis is the unconditional probability of exactly one adverse outcome and does not divide by the probability that at least one occurs.
CThis results from dividing the exactly-one probability by (1-p) cubed, the zero-outcome probability, instead of by its complement.
DThis conditions correctly but counts only one specified trial as the sole adverse outcome, omitting the factor of three.
Original practice · fully worked
Original variant: acoustic sensor self-test
Four acoustic sensors run independent self-tests. Each sensor fails its test with probability q, where q is strictly between zero and one. Given that the array reports at least one failure, determine the probability that exactly two sensors fail.
A q²(1-q)²
B 6q²(1-q)²
C 6q²(1-q)² / [1-(1-q)⁴]
D [1-(1-q)⁴] / [6q²(1-q)²]
E 1 − 6q²(1-q)² / [1-(1-q)⁴]
Variant answer in brief
The unconditional probability of two failures is 6q squared times (1-q) squared, while at least one failure has probability 1-(1-q) to the fourth power. Their ratio is choice C.
Setup
Setup
Let F be the number of failed self-tests in the four-sensor array.
F∼Binomial(4,q)
Model
Model
The exactly-two event is contained in the positive-failure event, so use a simple conditional ratio.
Pr(F=2∣F≥1)=Pr(F≥1)Pr(F=2)
Compute
Compute
The binomial coefficient counts the six possible failed pairs, and a complement gives the denominator.
Pr(F=2)=(24)q2(1−q)2=6q2(1−q)2
Pr(F≥1)=1−(1−q)4
Pr(F=2∣F≥1)=1−(1−q)46q2(1−q)2
Answer
Answer
The conditional probability is the expression in choice C.
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