This Exam P sample reference tests Exponential Distribution. Exponential cumulative hazard scales with time divided by mean. The second lifetime's five-year hazard is two-thirds of the first lifetime's fifteen-year hazard, giving 0.046656⁽²⁄³⁾=0.1296 and choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis reverses the effective-exposure ratio and computes 0.046656⁽³⁄²⁾=0.01008, which rounds to 0.01.
BThis linearly multiplies the given survival probability by 2/3, obtaining 0.031104, rather than scaling its cumulative hazard.
CThis linearly multiplies 0.046656 by 3/2 to obtain 0.069984, instead of exponentiating by the required exposure ratio.
EA value of 0.18 implies an exponent ln(0.18)/ln(0.046656)=0.559, not the required effective-exposure ratio (5/15)(2)=2/3.
Original practice · fully worked
Original variant: first-alert operating time
Two independent safety sensors trigger after exponentially distributed waiting times with means 8 hours and 12 hours. A system remains in operation only until the first sensor triggers. Calculate the probability that the system operates for more than 4 hours.
A 0.4346
B 0.5654
C 0.6065
D 0.6615
E 0.7165
Variant answer in brief
Operating beyond four hours requires both independent sensors to wait beyond four hours. Multiplying their survival probabilities gives exp(-4/8-4/12)=0.4346, so choice A is correct.
Setup
Setup
Let T be the earlier of the two trigger times.
T=min(T1,T2)
Model
Model
The system exceeds four hours exactly when both independent trigger times exceed four hours.
Pr(T>4)=Pr(T1>4)Pr(T2>4)
Compute
Compute
Multiply the two exponential survival probabilities.
Pr(T>4)=e−4/8e−4/12
Pr(T>4)=e−5/6=0.4345982085
Answer
Answer
The probability of operating beyond four hours is approximately 0.4346.
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