This Exam P sample reference tests Normal Distribution. The independent two-period total is normal with standard deviation √(1100²+2640²)=2860. The positive-total probability corresponds to z=1.099844, so the unknown second-period mean is 2860z-660=2485.55 and choice C is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis understates the mean needed for an 86.43% positive-total probability by using an inadequately small spread for the two-period sum.
BThis results from using the stated probability itself in place of the required standard-normal quantile and then applying an inconsistent mean adjustment.
DThis uses a shifted or rounded cutoff equation instead of standardizing zero against the full total mean 660+mu.
EThis adds the two standard deviations to get 3740 instead of adding variances; 3740(1.099844)-660 is approximately 3454.
Original practice · fully worked
Original variant: combined production cost
Three independent production-stage costs are normally distributed. Their respective means are 100, 150, and 250, and their standard deviations are 10, 20, and 30. Calculate the 95th percentile of the total production cost.
A 438.5
B 500.0
C 537.4
D 561.5
E 598.7
Variant answer in brief
The total cost is normal with mean 500 and variance 1400. Adding 1.6448536 standard deviations to the mean gives the 95th percentile 561.5448, so choice D is correct.
Setup
Setup
Add the three stage means to obtain the center of the total cost.
E[T]=100+150+250=500
Model
Model
The sum is normal, and independence makes the stage variances additive.
Var(T)=102+202+302=1400
T∼N(500,1400)
Compute
Compute
Apply the 95th-percentile standard-normal quantile to the total standard deviation.
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