This Exam P sample reference tests Poisson Distribution. Conditioning two independent Poisson counts on their sum makes X binomial with n=3 and p=1.7/4=0.425. Since X-Y=2X-3, the conditional variance is 4(3)(0.425)(0.575)=2.9325, choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 1.71 is 3(0.57), obtained by rounding the conditional share 0.575 down before reporting E[Y|X+Y=3]. It is a component mean, not the variance of the difference.
BThe value 1.77 can result from miscopying p(1-p)=0.244375 as 0.1475 before evaluating 4(3)p(1-p). Using the actual conditional binomial parameter gives 2.9325.
DThe value 3.14 is E[(X-Y)²|X+Y=3]=Var(X-Y|X+Y=3)+E[X-Y|X+Y=3]²=2.9325+0.2025=3.135. It is the second raw moment, not the variance.
EThe value 4.00 is the unconditional variance Var(X-Y)=Var(X)+Var(Y)=1.7+2.3. Conditioning on the combined count changes the variance.
Original practice · fully worked
Original variant: conditional covariance from an inferred split
Counts A and B from two independent event streams are Poisson with unknown positive means. Given that six events occurred in total, the conditional probability that all six came from stream A is 1/64. Calculate Cov(A,B) under this condition.
A -3.000
B -1.500
C 0
D 1.500
E 6.000
Variant answer in brief
Conditioning on the total makes A binomial with six trials and an unknown split probability p. The all-A probability gives p=1/2, and because B=6-A, the conditional covariance is -Var(A)=-1.5, choice B.
Setup
Setup
Let p be stream A's share of the combined Poisson rate. Conditional splitting makes A binomial.
A∣(A+B=6)∼Binomial(6,p)
Model
Model
Use the probability that every conditioned event is allocated to stream A to recover p.
Pr(A=6∣A+B=6)=p6=641
p=21
Compute
Compute
Under the fixed total, B is a decreasing affine function of A.
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