This Exam P sample reference tests Poisson Distribution. For a Poisson count with mean 1.2, the unconditional upper tail from 3 is 0.1205129 and the positive-count probability is 0.6988058. Their ratio is 0.1724555, so choice D is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis uses the single mass P(X=3)=0.0867439 without conditioning; its nearest listed value is 0.10.
BThis reports the unconditional tail P(X≥3)=0.1205129 and omits division by P(X≥1).
CThis divides the tail by the unrelated complement P(X≤2)=0.8794871, obtaining 0.1370263, whose nearest listed value is 0.15.
EThis reports the unconditional mass P(X=2)=0.2168598, an off-by-one threshold with no conditioning.
Original practice · fully worked
Original variant: mean on active days
A backup service records a Poisson number R of automatic restarts per day. Logs show that 40% of days have no restarts. Among days with at least one restart, calculate the expected number of restarts.
A 0.400
B 0.600
C 0.916
D 1.527
E 2.291
Variant answer in brief
The zero probability gives λ=-ln(0.4)=0.9162907. Since R is zero off the conditioning event, E[R|R≥1]=λ/0.6=1.5271512, so choice D is correct.
Setup
Setup
Recover the Poisson mean from the observed zero-count probability.
e−λ=0.40
λ=−ln(0.40)=0.9162907319
Model
Model
Use the fact that R contributes zero outside the positive-count event.
E[R]=E[R∣R≥1]Pr(R≥1)
Pr(R≥1)=0.60
Compute
Compute
Divide the unconditional Poisson mean by the positive-day probability.
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