This Exam P sample reference tests Exponential Distribution. For an exponential lifetime with mean θ, the median is θ times log 2. The stated gap determines θ as 12.3838, so the variance is 153.358 and choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis is the recovered mean 12.38 rounded to a whole number; the question asks for the variance, which is the square of the mean.
BThis is approximately the square of the stated gap, 3.80² = 14.44, rather than the square of the exponential mean.
CEquating the gap to the median gives θ = 3.80 / ln(2) and a variance near 30; the gap is actually mean minus median.
EApproximating 1 − ln(2) by 0.25 gives θ ≈ 15.2 and variance near 231, but that approximation is far too coarse.
Original practice · fully worked
Original variant: maintenance ticket duration
The resolution time for an automated maintenance ticket is exponential. Its 75th percentile is 3.86294 hours greater than its mean. Calculate the variance, in squared hours, of the resolution time.
A 38.6
B 62.5
C 81.0
D 100.0
E 192.2
Variant answer in brief
The exponential 75th percentile is θ log 4. The stated excess equals θ times (log 4 minus 1), giving θ approximately 10 and variance 100, so choice D.
Setup
Setup
Let θ be the mean resolution time and write the exponential quantile formula.
qp=−θln(1−p)
q0.75=θln4
Model
Model
Subtract the mean θ from the 75th percentile and equate the result to the observed gap.
q0.75−E[T]=θ(ln4−1)=3.86294
Compute
Compute
Solve for θ and use the exponential variance identity.
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