This Exam P sample reference tests Exponential Distribution. Exponential quantiles convert the stated percentile gap into the distribution mean through a logarithmic ratio. The resulting probability is approximately 0.776868, corresponding to choice A.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
BThe value 0.793 implies an exponential mean of about 1.9047 through beta=-3/log(1-p); that mean does not reproduce the given percentile gap.
CThe value 0.810 implies a mean near 1.8064, again contradicting beta log(2)=1.3863.
DThe value 0.864 implies a mean near 1.5037 and results from an incorrect quantile-spacing conversion.
ETreating 1.3863 itself as the mean gives 1-exp(−3/1.3863)=0.885, but the supplied number is a percentile difference, not beta.
Original practice · fully worked
Original variant: protective coating lifetime
The time T until a protective coating develops its first microfracture is exponential. Laboratory records show that the 90th percentile exceeds the median by 12.8755 hours. Calculate the probability that a coating develops a microfracture within six hours.
A 0.372
B 0.472
C 0.528
D 0.658
E 0.777
Variant answer in brief
The 90th-percentile-to-median gap equals θ log(5), so the exponential mean is approximately eight hours. Evaluating the six-hour CDF gives approximately 0.527634, which selects choice C.
Setup
Setup
Express the two relevant quantiles using the exponential mean θ.
q0.90=−θlog(0.10),q0.50=−θlog(0.50)
Model
Model
Take their difference and reduce the logarithmic ratio.
q0.90−q0.50=θlog(0.100.50)=θlog5
θlog5=12.8755
Compute
Compute
Solve for the mean and evaluate the probability of failure by six hours.
θ=log512.8755=7.999997950…
Pr(T<6)=1−e−6/θ=0.5276335380…
Answer
Answer
The probability rounds to the value under choice C.
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.