This Exam P sample reference tests Exponential Distribution. For an exponential variable with mean θ, the median satisfies exp(−m/θ)=1/2. Therefore θ=400/ln2=577.08, which rounds to choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis sets the exponential mean equal to its median. With mean 400, the probability below 400 would be 1 − exp(−1) = 0.6321, not one-half.
BA mean of 446 would give P(X ≤ 400) = 1 − exp(−400 / 446) = 0.5922, so it does not reproduce the defining median probability.
CA mean of 492 would give P(X ≤ 400) = 0.5565. The logarithmic conversion from median to mean is still too small.
DA mean of 533 would give P(X ≤ 400) = 0.5279. Only division by ln 2 makes the cumulative probability exactly one-half.
Original practice · fully worked
Original variant: first failure among parallel components
A component lifetime is exponentially distributed, and the probability that it survives beyond 80 hours is 0.20. Three independent components begin operation together, and a system stops when the first component fails. Calculate the expected system lifetime.
A 9.94
B 16.57
C 26.67
D 49.71
E 80.00
Variant answer in brief
The individual rate is ln5/80. The minimum of three independent exponential lifetimes has three times that rate, so its mean is 80/(3ln5)=16.57, choice B.
Setup
Setup
Let λ be the individual failure rate and calibrate it from the survival probability.
e−80λ=0.20
λ=80ln5
Model
Model
The first failure time is the minimum of the three independent lifetimes. Minimum exponential rates add.
M=min(T1,T2,T3)
M∼Exponential(3λ)
Compute
Compute
Invert the combined rate to obtain the expected system lifetime.
E[M]=3λ1=3ln580
E[M]=16.56893159…
Answer
Answer
The expected time to the first component failure is 16.57 hours.
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