This Exam P sample reference tests Poisson Distribution. Independence lets the monthly Poisson variances add across two locations and three months. The total variance is three times the combined monthly mean, or 135, so the answer is B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis adds the two location variances for only one month and forgets the three-month period.
CThis squares the smaller monthly mean, but a Poisson variance equals its mean and independent periods must be added.
DThis squares the larger monthly mean, confusing a squared mean with a variance.
EThis adds the squared monthly means, 15² + 30², instead of adding Poisson variances across locations and months.
Original practice · fully worked
Original variant: greenhouse detections
A greenhouse uses three independent sensor sectors. In a week, the numbers of unusual detections in the sectors are independent Poisson random variables with means 1.5, 2.5, and 4.0. Counts are also independent from week to week. Calculate the variance of the total number of detections over five weeks.
A 8
B 20
C 40
D 64
E 320
Variant answer in brief
The three sectors contribute a combined weekly variance of 8. Across five independent weeks the total variance is 40, which is choice C.
Setup
Setup
For each sector and week, the Poisson variance equals the corresponding sector mean.
λ1=1.5,λ2=2.5,λ3=4.0
Model
Model
Add the independent sector variances within a week, then add the five independent weekly totals.
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