This Exam P sample reference tests Normal Distribution. Independence converts the two-year at-least-one probability into a one-year negative-profit probability of 0.20. Hence -100/sigma is the 20th standard-normal quantile, giving sigma=118.818 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis multiplies 100 by the 80th-percentile z-value 0.8416; standardizing zero requires dividing 100 by that magnitude.
BThis first approximates the annual probability as 0.36/2=0.18, ignoring the overlap between the two independent annual events.
DThis uses the one-year nonnegative probability 0.80 directly as a z-score magnitude, giving 100/0.80=125.
EWith standard deviation 127, the one-year negative probability is about 0.216 and the two-year at-least-one probability is about 0.385, not 0.36.
Original practice · fully worked
Original variant: greenhouse energy shortfalls
A greenhouse's daily net energy output is normally distributed with mean 60 kWh and an unknown standard deviation that is unchanged from day to day. Daily outputs are independent. The probability of a negative output on at least one of the next three days is 0.271. Calculate the daily standard deviation.
A 44.8 kWh
B 46.8 kWh
C 76.9 kWh
D 98.4 kWh
E 600.0 kWh
Variant answer in brief
The three-day complement implies a one-day shortfall probability of 0.10. Standardizing zero then gives sigma=60/1.281552=46.818 kWh, so choice B.
Setup
Setup
Let r be the chance of negative output on one day and complement the three-day event.
1−(1−r)3=0.271
Model
Model
Solve the independence equation and connect the resulting tail probability to the unknown normal scale.
1−r=30.729=0.9⟹r=0.1
Φ(−σ60)=0.1
Compute
Compute
Invert the standard normal CDF at 0.10 and isolate sigma.
Φ−1(0.1)=−1.2815515655…
σ=1.281551565560=46.8182488…
Answer
Answer
The daily standard deviation is approximately 46.8 kWh.
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