This Exam P sample reference tests Poisson Distribution. If N is the Poisson death count, the company's retained benefit is 100 min(N,4). Summing the first four Poisson tail probabilities gives an expected retained count of 1.924859, hence cost 192.49 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
ASumming payments only for N=1 through N=4 gives 171.4247. That omits all outcomes with five or more deaths, even though the company still pays the capped amount 400 in those years.
BRounding the four Poisson tail probabilities before adding can produce a retained count near 1.9 and a listed value near 189. Keeping the exact tails gives 192.4859.
DThe value 200 is 100 E[N], the expected gross benefit before insurance. It does not subtract the insurer's excess-layer payment.
EThe insurer's expected excess payment is 200-192.4859=7.5141. Adding that amount to the gross mean instead of subtracting it gives 207.5141, nearest 208.
Original practice · fully worked
Original variant: probability an annual warranty cap binds
The annual number N of covered device failures is Poisson with mean 2. A warranty pays 75 credits per failure, subject to a maximum annual payment of 225 credits. Given that the warranty makes a positive payment during a year, calculate the probability that it pays the annual maximum.
A 0.1353
B 0.3233
C 0.3739
D 0.6870
E 0.8647
Variant answer in brief
The warranty reaches 225 credits exactly when N is at least 3, while a positive payment means N is at least 1. The conditional probability is (1-5 exp(−2))/(1-exp(−2))=0.3739, choice C.
Setup
Setup
Translate the payment conditions into count events.
N∼Poisson(2)
Y=min(75N,225)
{Y>0}={N≥1},{Y=225}={N≥3}
Model
Model
Write the requested probability as one Poisson tail divided by another.
Pr(Y=225∣Y>0)=Pr(N≥1)Pr(N≥3)
Compute
Compute
Evaluate the two count tails at mean 2.
Pr(N≥3)=1−e−2(1+2+222)=1−5e−2
Pr(N≥1)=1−e−2
Pr(Y=225∣Y>0)=1−e−21−5e−2=0.3739294
Answer
Answer
Conditional on a positive payment, the cap binds with probability about 0.3739.
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