This Exam P sample reference tests Binomial Distribution. This is the standard deviation of a binomial count. With n=500 and p=0.12, the variance is 500(0.12)(0.88)=52.8, so the standard deviation is √(52.8)≈7.27 and choice A.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
BThe value 7.75 is approximately √(np)=√(60), omitting the required factor 1-p from the binomial variance.
CA standard deviation of 12.75 would imply variance about 162.6, which exceeds np=60. A binomial variance np(1-p) cannot exceed np.
DThe value 20.98 is approximately √(n(1-p))=√(440), omitting the success-probability factor p.
EThe value 52.80 is the binomial variance. Standard deviation is its square root.
Original practice · fully worked
Original variant: audit score volatility
An audit runs 240 independent checks, each passing with probability 0.35. The audit score adds 5 points for every pass and subtracts 2 points for every failed check. Calculate the standard deviation of the total audit score.
A 7.389
B 51.724
C 54.600
D 64.156
E 2675.400
Variant answer in brief
If N is the pass count, the total score is 5N-2(240-N)=7N-480. The pass-count standard deviation is sqrt[240(0.35)(0.65)], and scaling by 7 gives 51.724, choice B.
Setup
Setup
Represent the number of passing checks by a binomial variable.
N∼Binomial(240,0.35)
Model
Model
Rewrite the total score as an affine function of the pass count.
S=5N−2(240−N)=7N−480
SD(S)=7SD(N)
Compute
Compute
Calculate the pass-count variance and apply the score scale.
Var(N)=240(0.35)(0.65)=54.6
SD(S)=754.6=51.72426897
Answer
Answer
The standard deviation of the total score is approximately 51.724 points.
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