This Exam P sample reference tests Poisson Distribution. The weekly mean gives a daily Poisson mean of 9 and standard deviation 3. A count at least two standard deviations below the mean is at most 3, whose Poisson cumulative probability is 0.02122649, so choice B is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis uses a strict cutoff below 3 and computes P(D≤2)=0.006232 instead of including count 3.
CThis uses the higher cutoff 5, giving P(D≤5)=0.115691 rather than moving two full standard deviations below the mean.
DThis results from an inappropriate approximation or a noninteger cutoff rather than evaluating the exact Poisson lower tail at 3.
EThis subtracts only one standard deviation, using cutoff 6 and obtaining P(D≤6)=0.206781.
Original practice · fully worked
Original variant: transformed incident score
A cycle's incident count N is Poisson. An operational score is defined by Y=2N+5, and Var(Y)=36. Calculate the probability that Y is at least 29.
A 0.073
B 0.197
C 0.294
D 0.413
E 0.803
Variant answer in brief
Because Var(2N+5)=4Var(N), the Poisson mean is 9. The event Y≥29 is equivalent to N≥12, whose Poisson upper-tail probability is 0.19699162, so choice B is correct.
Setup
Setup
Use the variance of the transformed score to recover the Poisson parameter.
Var(Y)=22Var(N)=4λ=36
λ=9
Model
Model
Translate the score threshold into an integer count threshold.
2N+5≥29
N≥12
Compute
Compute
Evaluate the Poisson upper tail by complementing the cumulative probability through 11.
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