This Exam P sample reference tests Survival Functions. This is a conditional interval probability for an inverse-power density. Its survival function is 4 divided by the squared threshold, so normalizing the interval from 2.5 through 3 by survival past 2.5 gives 11/36, approximately 0.306, and choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe unconditional probability of lying between 2.5 and 3 is about 0.196, which rounds to 0.20. It has not been divided by the probability of reaching 2.5.
CThe value 4/9 is the unconditional probability of exceeding 3, not the requested conditional interval probability.
DThe value 16/25 is the probability of reaching 2.5. It is the conditioning denominator.
EThe value 25/36 is the conditional probability of remaining above 3 after reaching 2.5, the complement of the requested result.
Original practice · fully worked
Original variant: inspection time within a component lifetime
A component's lifetime, in hours, has density twice its lifetime value on the interval from zero to one. After the lifetime is realized, an inspection time is selected uniformly between installation and failure. Conditional on the inspection occurring after 0.25 hour, calculate the probability that the component's total lifetime exceeds 0.75 hour.
A 0.3125
B 0.4375
C 0.4444
D 0.5556
E 0.7500
Variant answer in brief
The lifetime density and the conditional inspection-time density cancel, leaving a constant joint density over the feasible triangle. The conditioning region has probability 9/16 and the favorable part has probability 5/16, so their ratio is 5/9 and choice D.
Setup
Setup
Let L be the total lifetime and T the inspection time. Conditional on a realized lifetime, the inspection time is uniform over that lifetime.
fL(ℓ)=2ℓ,fT∣L(t∣ℓ)=ℓ1
fL,T(ℓ,t)=2,0<t<ℓ<1
Model
Model
Form the conditioning probability and the joint probability of a late inspection with a lifetime above three-quarters of an hour.
Pr(T>1/4)=∫1/41∫t12dℓdt
Pr(L>3/4,T>1/4)=∫3/41∫1/4ℓ2dtdℓ
Compute
Compute
Evaluate both regions and divide the favorable probability by the conditioning probability.
Pr(T>1/4)=169,Pr(L>3/4,T>1/4)=165
Pr(L>3/4∣T>1/4)=9/165/16=95=0.5555555556
Answer
Answer
The conditional probability is approximately 0.5556.
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