This Exam P sample reference tests Poisson Distribution. Exceeding mean three means a count of at least four, while exceeding mean 1.5 means a count of at least two. The two Poisson tails differ by 0.08941, choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.00 assumes that a Poisson count has the same exceed-mean probability for every mean. Discreteness makes the two thresholds behave differently.
CThe value 0.13 results after treating a count of three as exceeding the mean three and taking the absolute difference: |0.44217-0.57681|=0.13464.
DThe value 0.19 is inconsistent with the separately evaluated tails 0.44217 and 0.35277. Both strict integer thresholds must be set before subtraction.
EThe value 0.31 can arise by adding an extra Poisson point mass to the verified difference. The problem asks only for the difference of the two tails.
Original practice · fully worked
Original variant: locate the third inspection alert
Inspection alerts follow a homogeneous Poisson process averaging one alert every two minutes. Calculate the probability that the third alert arrives after minute four but no later than minute six.
A 0.42319
B 0.25349
C 0.57681
D 0.67668
E 0.74651
Variant answer in brief
The third alert is later than time t exactly when the count by t is at most two. Subtracting the six-minute survival probability from the four-minute survival probability gives 5 exp(−2)-8.5 exp(−3)=0.25349, choice B.
Setup
Setup
Translate the two clock times into expected Poisson counts.
λ(4)=2,λ(6)=3
Model
Model
The third-arrival time exceeds t if no more than two alerts have occurred by t.
Pr(T3>t)=Pr(N(t)≤2)
Compute
Compute
Subtract the nested survival events at six and four minutes.
Pr(T3>4)=e−2(1+2+222)=5e−2
Pr(T3>6)=e−3(1+3+232)=8.5e−3
Pr(4<T3≤6)=5e−2−8.5e−3=0.2534863
Answer
Answer
The third alert falls in the specified two-minute interval with probability about 0.25349.
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