This Exam P sample reference tests Discrete Distributions. This is the standard deviation of a capped step benefit derived from a discrete snowfall model. The benefit has mean 92 and second moment 35,200, giving variance 26,736 and standard deviation 163.5, so choice A.
Collapse snowfall categories that lead to the same policy benefit. Let Y denote the payment amount.
Pr(Y=0)=0.72,Pr(Y=200)=0.14
Pr(Y=400)=0.06,Pr(Y=500)=0.08
Model
Model
Compute the first two raw moments of the discrete payment.
E[Y]=y∑yPr(Y=y)
E[Y2]=y∑y2Pr(Y=y)
Compute
Compute
Evaluate the moments and convert the variance to a standard deviation.
E[Y]=200(0.14)+400(0.06)+500(0.08)=92
E[Y2]=2002(0.14)+4002(0.06)+5002(0.08)=35200
Var(Y)=35200−922=26736
SD(Y)=26736=163.5114675
Answer
Answer
The policy payment has standard deviation about 163.5.
163.5(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 187.6 is √(35,200), the root mean square of the payment. It omits subtraction of the squared mean before taking the square root.
CThe value 208.7 results from ignoring the policy cap, using payments 0, 200, 400, 600, and 800. That model gives mean 108, second moment 55,200, and standard deviation 208.65.
DThe value 234.9 is √(55,200), combining the uncapped-payment error with the further error of reporting a raw root second moment instead of a standard deviation.
EThe value 336.6 results from assigning uncapped 200-unit steps across all eight snowfall bands, with payments from 0 through 1400. That removes both the threshold and cap, producing variance 113,296 and standard deviation 336.59.
Original practice · fully worked
Original variant: variability of a cumulative lab award
A laboratory can finish at most three calibrations in one shift. The tail probabilities for the completed count K are P(K at least 1)=0.60, P(K at least 2)=0.30, and P(K at least 3)=0.10. A team earns 80 credits for the first calibration, 120 additional credits for the second, and 200 additional credits for the third. Calculate the standard deviation of its total credits.
A 64.62 credits
B 99.68 credits
C 104.00 credits
D 122.90 credits
E 161.00 credits
Answer and calculation
Differencing the three tail probabilities gives count masses 0.40, 0.30, 0.20, and 0.10. The cumulative awards 0, 80, 200, and 400 then have variance 15,104 and standard deviation 122.90 credits, so choice D.
Setup
Setup
Convert the nested tail probabilities into disjoint count probabilities.
Pr(K=0)=0.40,Pr(K=1)=0.60−0.30=0.30
Pr(K=2)=0.30−0.10=0.20,Pr(K=3)=0.10
Model
Model
Accumulate the incremental credits. The total C takes values 0, 80, 200, and 400 for counts zero through three.
C(0)=0,C(1)=80,C(2)=200,C(3)=400
Compute
Compute
Calculate the first two moments and center the second moment.
E[C]=0.30(80)+0.20(200)+0.10(400)=104
E[C2]=0.30(802)+0.20(2002)+0.10(4002)=25920
Var(C)=25920−1042=15104
SD(C)=15104=122.898332
Answer
Answer
The total-credit standard deviation rounds to 122.90 credits.