This Exam P sample reference tests Exponential Distribution. Partial nonreimbursement occurs when a loss exceeds the applicable cap. Dividing the two exponential tail probabilities cancels the unknown base cap and leaves exp(-2/6)=exp(-1/3), so choice B is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis multiplies the cap increase by the mean, producing exp(−6(2))=exp(−12), instead of dividing the increase by the mean.
CThis divides the two probabilities of full reimbursement, (1-exp(−(m+2)/6))/(1-exp(−m/6)), rather than the two unpaid-tail probabilities.
DThis both uses full-reimbursement probabilities and treats six as an exponential rate, producing exponents -6(m+2) and -6m.
EThis uses the linear cap ratio m/(m+2), even though exponential tail probabilities change multiplicatively rather than inversely with the cap.
Original practice · fully worked
Original variant: expected capped incidents
The number of repair incidents during a season is Poisson with mean 4. Incident costs are independent exponential random variables with mean 6 units and are independent of the count. A contract reimburses at most 8 units per incident. Calculate the expected number of incidents for which some cost remains unreimbursed.
A 0.2636
B 1.0544
C 2.9456
D 4.0000
E 8.0000
Variant answer in brief
An incident is only partly reimbursed with probability exp(-8/6)=0.2636. Multiplying by the expected incident count gives 4exp(-8/6)=1.0544, so choice B is correct.
Setup
Setup
Identify the event that an incident cost exceeds the reimbursement cap.
q=Pr(X>8)=e−8/6=e−4/3
Model
Model
Conditional on N incidents, the expected number exceeding the cap is Nq. Average this conditional mean over N.
E[K∣N]=Nq
E[K]=E[N]q
Compute
Compute
Use the Poisson mean and the exponential tail probability.
E[K]=4e−4/3=1.054388552
Answer
Answer
The expected number of partially unreimbursed incidents is approximately 1.0544.
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