This Exam P sample reference tests Binomial Distribution. Let N be the binomial count of covered years. The benefit is 20 times min(N,3); weighting its four possible payment levels gives 45.625, which rounds to choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 30 is 60P(N≥3)=60(16/32). It counts the capped payment only in years-count states at or above three and discards the positive benefits when N is one or two.
BSumming payments only for N=1,2,3 and incorrectly assigning zero at N=4,5 gives [20(5)+40(10)+60(10)]/32=34.375, which rounds to 34.
CThe value 40 is 20(4)(0.5). It counts only four annual exposure periods and ignores the five-year count as well as the payment ceiling.
EThe value 50 is the uncapped expectation 20E[N]=20(5)(0.5). It pays for the fourth and fifth covered years even though no further benefits are available.
Original practice · fully worked
Original variant: expected overtime under an escalation layer
Eight independent processing tasks each require escalation with probability 0.25. The first escalation in a batch is handled during regular time. Each of the next three escalations adds 30 minutes of overtime; any further escalations are deferred. Calculate the expected overtime for the batch.
A 18.988
B 32.046
C 33.003
D 55.628
E 60.000
Variant answer in brief
For the binomial escalation count N, paid overtime units are min((N-1) positive part,3). Its tail-sum expectation is P(N at least 2)+P(N at least 3)+P(N at least 4)=1.0681915, giving 32.045746 minutes and choice B.
Setup
Setup
Model the number of escalated tasks and translate the contract into paid overtime units.
N∼Binomial(8,0.25)
U=min{(N−1)+,3},O=30U
Model
Model
Use the tail-sum identity for the nonnegative integer-valued number of paid overtime units.
E[U]=Pr(N≥2)+Pr(N≥3)+Pr(N≥4)
Compute
Compute
Evaluate the three binomial tails and convert overtime units to minutes.
E[U]=0.6329193115+0.3214569092+0.1138153076
E[O]=30(1.0681915283)=32.04574585…
Answer
Answer
The expected overtime is approximately 32.046 minutes.
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