This Exam P sample reference tests Exponential Distribution. Equating the two exponential interval probabilities gives exp(-r/100)=exp(-0.6)-exp(-0.4)+exp(-0.5). Taking logarithms yields r=72.3561, which selects choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AAt r=68.26, the later interval probability is exp(−0.6)-exp(−0.6826)=0.043510, not the required 0.063789. This can result from taking logs before completing the tail subtraction.
BThe value 70.00 assigns the later interval the same width of 10. Its probability is 0.052226, smaller because the exponential density has declined.
CAt r=70.51, the later interval probability is 0.054752, still below 0.063789. Rounding or linearly interpolating cdf values does not solve the exponential equation.
EThe endpoint 75.00 gives probability exp(−0.6)-exp(−0.75)=0.076445, which overshoots the required interval probability.
Original practice · fully worked
Original variant: exponential percentile conversion
A cloud task has an exponential completion time. Its 60th percentile is 8 minutes. Calculate the 90th percentile of the completion time.
A 1.650
B 8.000
C 12.000
D 18.421
E 20.104
Variant answer in brief
The survival probabilities at the two percentiles are 0.40 and 0.10. Exponential scaling gives x=8 ln(0.10)/ln(0.40)=20.1035 minutes, choice E.
Setup
Setup
Convert the percentile statements to survival probabilities.
S(8)=0.40
S(x0.90)=0.10
Model
Model
For an exponential variable, the logarithm of survival is linear in time.
e−8λ=0.40
e−λx0.90=0.10
Compute
Compute
Divide the two logarithmic equations to eliminate the unknown rate.
8x0.90=ln(0.40)ln(0.10)
x0.90=20.1035328
Answer
Answer
The 90th percentile is approximately 20.104 minutes.
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