This Exam P sample reference tests Poisson Distribution. A zero count across six equal independent periods has probability exp(-6 λ)=0.008. The zero-count probability across the final two periods is therefore the cube root of 0.008, or 0.20; the observation in a disjoint period does not alter it, so choice A is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
BThis is a numerical cube-root error. Since 0.20 cubed is exactly 0.008, no approximation above 0.20 is needed.
CThis is close to the probability that both target months are nonempty, obtained from the one-month nonzero probability. The requested event has both counts equal to zero.
DThis is close to the probability that a single active month is nonempty. It changes both the event direction and the two-month exposure length.
EMultiplying the two-month probability 0.20 by the three two-month blocks in six months treats intersecting zero-count requirements as a disjoint union. Independent block probabilities multiply.
Original practice · fully worked
Original variant: event locations within a shift
Signals arrive according to a homogeneous Poisson process during an eight-hour research shift. Exactly three signals were observed over the full shift. Conditional on that total, calculate the probability that at least two signals arrived during the first two hours.
A 0.0156
B 0.1406
C 0.1563
D 0.4219
E 0.5781
Variant answer in brief
Given the three-event total, each event independently falls in the first quarter of the shift with probability 1/4. A Binomial(3,1/4) count is at least two with probability 10/64=0.15625, so choice C is correct.
Setup
Setup
Let K count signals in the first two hours, given that the eight-hour total equals three.
total exposureearly exposure=82=41
Model
Model
Conditional on a homogeneous Poisson total, event locations are independent and uniform across the observation window.
K∣(N8=3)∼Binomial(3,41)
Compute
Compute
Add the probabilities of exactly two and exactly three early signals.
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