This Exam P sample reference tests Poisson Distribution. Independent Poisson counts add, so the full-document count is Poisson with mean 10. Complementing its cumulative probability through four gives 0.970747, which rounds to choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis is approximately the probability of four or fewer counts only through three, P(S≤3)=0.01034; it both uses the lower tail and drops the boundary value four.
BThis is the lower-tail probability P(S≤4)=0.02925. It is the complement of the requested result.
DThis is approximately 1-P(S=4)=0.98108, which excludes exactly four but incorrectly keeps counts zero through three.
EThis is approximately P(S≥4)=0.98966, an off-by-one tail that includes the four-count outcome.
Original practice · fully worked
Original variant: satellite mosaic false detections
A satellite image mosaic is divided into 40 independently processed zones. The number of false detections in each zone is Poisson with mean 0.075. Calculate the probability that the completed mosaic contains more than two false detections.
A 0.0498
B 0.2240
C 0.4232
D 0.5768
E 0.8009
Variant answer in brief
The 40 independent zone counts produce a Poisson total with mean 3. Its probability above two is 0.576810, selecting choice D.
Setup
Setup
Let F be the total false-detection count across all zones.
F=j=1∑40Fj,Fj∼Poisson(0.075)
Model
Model
Poisson superposition adds the 40 zone means.
F∼Poisson(40⋅0.075)=Poisson(3)
Compute
Compute
Use the complement of the zero-, one-, and two-count masses.
Pr(F>2)=1−e−3(1+3+232)
Pr(F>2)=0.5768099189…
Answer
Answer
The probability of more than two false detections is approximately 0.5768.
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