This Exam P sample reference tests Normal Distribution. This problem first recovers the quarterly standardized mean from a normal tail probability. Four independent quarters double that z-score for the annual total, giving Φ(1.6832)=0.9538 and choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis is 0.80⁴=0.4096, the probability that all four periods are individually positive. The total can be positive even when some periods are negative.
BThis is Phi[(mu/sigma)/2]=Φ(0.4208)=0.663, scaling the annual standard deviation but forgetting that the annual mean is 4mu.
CThis repeats the single-period probability 0.80 and ignores diversification across four independent periods.
EA probability of 0.998 corresponds to z=2.8782 and would require annual standard deviation about 1.17sigma; independence gives 2sigma exactly.
Original practice · fully worked
Original variant: exactly two high instrument readings
Six independent instrument readings are normally distributed with mean 50 and standard deviation 10. Calculate the probability that exactly two of the six readings exceed 60.
A 0.0252
B 0.1892
C 0.2440
D 0.3776
E 0.6453
Variant answer in brief
A single reading exceeds 60 with probability 1-Φ(1)=0.158655. The exceedance count is binomial with six trials, so its probability at two is 0.189189 and choice B.
Setup
Setup
Standardize the threshold for one reading.
z=1060−50=1
p=Pr(X>60)=1−Φ(1)=0.1586552539…
Model
Model
Independence makes the number of threshold exceedances binomial.
K∼Binomial(6,p)
Compute
Compute
Evaluate the binomial mass at two exceedances.
Pr(K=2)=(26)p2(1−p)4
Pr(K=2)=0.1891891057…
Answer
Answer
The probability of exactly two high readings is about 0.1892.
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