This Exam P sample reference tests Continuous Random Variables. Integrating the inverse-cube density gives survival probability equal to the reciprocal of the squared threshold. Conditional on reaching 3, the chance of remaining below 4 is therefore 7/16, or 0.4375. The listed answer is 0.44, choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AA conditional answer of 0.04 would imply unconditional interval mass below 0.005 after multiplying by survival to 3. The exact interval mass is about 0.0486.
BThe value 0.05 is the unconditional probability of lying between 3 and 4, rounded from 0.0486. It omits conditional normalization.
CThe value 0.06 is the probability of reaching 4, rounded from 0.0625. It is a survival probability rather than the requested conditional interval.
DThe value 0.11 is the probability of reaching 3, which is the conditioning denominator rather than the requested ratio.
Original practice · fully worked
Original variant: remaining life of a heavy-tailed component
A component lifetime T, measured in years, has survival probability beyond t years equal to the reciprocal of t cubed for t at least one. The component is still operating at age 2. Calculate its expected additional lifetime.
A 0.333
B 0.667
C 1.000
D 2.000
E 3.000
Variant answer in brief
Conditional survival for x additional years is the cube of 2 divided by 2 plus x. Integrating this residual survival function gives an expected additional lifetime of 1 year and choice C.
Setup
Setup
Let R be the remaining lifetime after the component reaches age two.
R=T−2∣T>2
Model
Model
Form the residual survival function by conditioning the original tail.
Pr(R>x)=S(2)S(2+x)=(2+x2)3
Compute
Compute
Integrate residual survival to obtain the expected additional lifetime.
E[R]=∫0∞(2+x2)3dx=1
Answer
Answer
The component's expected additional lifetime is one year.
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