This Exam P sample reference tests Normal Distribution. Dividing the overall exceedance probability by the 0.8 claim probability gives a conditional normal tail of 0.229625. Its z-score is 0.7400824, so c=5000/0.7400824=6756, selecting D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis ignores the 0.80 claim-occurrence factor, uses 0.1837 as the conditional normal tail, and obtains z about 0.90 and c about 5550.
BThis mistakes the overall nonexceedance probability 1-0.1837=0.8163 for a z-score, giving 5000/0.8163=6125.
CThis correctly forms the conditional CDF 0.770375 but then uses that probability itself as z, giving 5000/0.770375=6490.
EThis reads z as about 0.70, whose upper tail is about 0.242 rather than 0.229625; 5000/0.70 is about 7143, represented by the last choice.
Original practice · fully worked
Original variant: infer inactive time
A monitoring unit is either inactive or active on a given day. On an active day, its peak load is normally distributed with mean 80 and standard deviation 6. Across all days, the probability that the unit is active and its peak load exceeds 89 is 0.0534458. Calculate the probability that the unit is inactive.
A 0.0534
B 0.0668
C 0.2000
D 0.8000
E 0.9466
Variant answer in brief
On an active day the threshold has z=(89-80)/6=1.5 and upper tail 0.0668072. Thus the active probability is 0.0534458/0.0668072=0.8, leaving inactive probability 0.2 and choice C.
Setup
Setup
First compute the threshold's standardized distance on an active day.
z=689−80=1.5
Model
Model
Let a denote the active-day probability and factor the joint exceedance.
Pr(Z>1.5)=0.0668072013
0.0534457610=a(0.0668072013)
Compute
Compute
Recover the active fraction and take its complement.
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