This Exam P sample reference tests Poisson Distribution. This is a lower-tail probability for an aggregate Poisson count. Adding three independent annual means gives a three-year mean of 0.864; the zero-count and one-count masses sum to e to the minus 0.864 × 1.864, or 0.7856 and choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.01 is the three-year probability of exactly four claims, rounded from 0.009786. Four claims are outside the qualifying count range.
BThe value 0.36 is the probability of exactly one three-year claim, rounded from 0.364153. It omits qualifying policies with no claims.
CThe value 0.42 is the probability of no three-year claims, rounded from 0.421473. It omits the allowed one-claim outcome.
DThe value 0.54 cannot contain both permitted masses: those masses are 0.421473 and 0.364153 separately. Their disjoint sum, rather than a partial combination, is required.
Original practice · fully worked
Original variant: standing account in a random rebate split
The number N of unexpected support tickets in a service window is Poisson with mean 2. A rebate of 90 credits is divided equally among the N tickets and one standing account. Calculate the expected number of credits assigned to the standing account.
A 12.18 credits
B 30.00 credits
C 38.91 credits
D 45.00 credits
E 77.82 credits
Variant answer in brief
Conditional on N, the standing account receives 90/(N+1). Summing this amount against the Poisson masses and shifting the factorial index gives 45(1-e to the minus 2)=38.9099 credits, so choice C.
Setup
Setup
Write the standing-account allocation as a function of the random ticket count.
N∼Poisson(2),R=N+190
Model
Model
Average the conditional allocation over the Poisson mass function.
E[R]=90e−2n=0∑∞(n+1)n!2n
Compute
Compute
Use (n+1)n!=(n+1)! and shift the exponential-series index.
n=0∑∞(n+1)!2n=21k=1∑∞k!2k=2e2−1
E[R]=45e−2(e2−1)=45(1−e−2)=38.90991225
Answer
Answer
The standing account receives about 38.91 credits on average.
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