This Exam P sample reference tests Normal Distribution. The four independent quarterly results sum to a normal variable with mean 4(8)=32 and variance 4(24²)=2304, so its standard deviation is 48. Standardizing zero gives -32/48=-0.67, making choice C correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis reverses the one-quarter standardized ratio, using -24/8=-3.00, and also ignores aggregation over four quarters.
BThis first obtains aggregate mean 32 and standard deviation 48 but reverses the z-score ratio, using -48/32=-1.50.
DAdding the four quarterly standard deviations gives 96, so -32/96=-0.33; independent standard deviations do not add directly.
EThis uses one quarterly mean with the four-quarter standard deviation, giving -8/48=-0.17.
Original practice · fully worked
Original variant: demand-supply buffer
Independent daily demand X and supply Y are normally distributed with means 70 and 60 and standard deviations 8 and 6, respectively. Determine the buffer b for which P(X-Y≤b)=0.95.
A -6.449
B 10.000
C 18.704
D 33.028
E 26.449
Variant answer in brief
The difference X-Y is normal with mean 10 and standard deviation √(8²+6²)=10. Its 95th percentile is 10+1.64485(10)=26.449, so choice E is correct.
Setup
Setup
Form the normal distribution of the demand-supply difference.
D=X−Y
E[D]=70−60=10
Var(D)=82+62=100
Model
Model
The requested buffer is the 95th percentile of this difference.
Pr(D≤b)=0.95
10b−10=Φ−1(0.95)
Compute
Compute
Insert the standard-normal 95th percentile and return to the original scale.
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