This Exam P sample reference tests Poisson Distribution. Conditioning two independent Poisson counts on their sum produces a binomial allocation with success probability 2/(2+3). The probability of six allocations to the first source out of eight is 0.04128768, so the answer is C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis is approximately the unconditioned joint probability of six first-source events and two second-source events; it omits division by the probability of a total of eight.
BThis is approximately the unconditional Poisson probability that the first source alone has count six.
DThis comes from perturbing the conditional source share instead of using the rate ratio 2/(2+3).
EThis substantially overweights allocations to the lower-rate source and does not follow the conditional binomial mass.
Original practice · fully worked
Original variant: wafer defect classification
A scanner records three independent classes of microscopic wafer defects. Their respective Poisson means per wafer are 1, 2, and 3. Given that the scanner finds six defects in total on a wafer, calculate the probability that the three class counts are exactly 1, 2, and 3, respectively.
A 0.002315
B 0.022309
C 0.082305
D 0.138889
E 0.312500
Variant answer in brief
Conditioned on six total defects, the three class labels have multinomial probabilities 1/6, 2/6, and 3/6. The allocation probability for counts 1, 2, and 3 is 5/36=0.1388889, so choice D is correct.
Setup
Setup
Let the three independent class counts have the stated Poisson means and condition on their combined count.
(λ1,λ2,λ3)=(1,2,3)
λ1+λ2+λ3=6
Model
Model
Independent Poisson categories conditioned on their total follow a multinomial allocation with rate-proportional cell probabilities.
(K1,K2,K3)∣(K1+K2+K3=6)
∼Multinomial(6;61,62,63)
Compute
Compute
Evaluate the multinomial mass at the ordered class-count vector.
Pr((K1,K2,K3)=(1,2,3)∣K1+K2+K3=6)
=1!2!3!6!(61)(62)2(63)3
=365=0.1388888889…
Answer
Answer
The conditional allocation probability rounds to 0.138889.
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