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.
Independent returns with a common probability produce a binomial count.
N∼Binomial(500,0.12)
Model
Model
Use the binomial variance formula and then take its square root.
Var(N)=np(1−p)
SD(N)=np(1−p)
Compute
Compute
Substitute the item count and return probability.
Var(N)=500(0.12)(0.88)=52.8
SD(N)=52.8=7.266360849
Answer
Answer
The standard deviation rounds to 7.27.
7.27(A)
Test the method on unseen problems
Probability Univariate Distributions Practice Workbook
30 original univariate random variables problems with complete solutions and wrong-choice analysis. Written for Exam P, not copied from the SOA set. One-time $19 PDF.
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
Answer and calculation
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.