Original practice · fully worked
Original variant: covariance induced by a production regime
A production regime R takes value 1 with probability 0.25, value 3 with probability 0.35, and value 6 otherwise. Conditional on R, the defect count Y is Poisson with mean 2R. Calculate Cov(R,Y).
- A
4.11 - B
7.40 - C
8.22 - D
16.44 - E
23.84
Answer and calculation
The regime has E[R]=3.7, E[R²]=17.8, and Var(R)=4.11. Because E[Y|R]=2R, total covariance gives Cov(R,Y)=Cov(R,2R)=2 Var(R)=8.22, choice C.
Setup
Setup
Compute the first two moments of the discrete regime variable.
E[R]=1(0.25)+3(0.35)+6(0.40)=3.7 E[R2]=1(0.25)+9(0.35)+36(0.40)=17.8 Var(R)=17.8−3.72=4.11 Model
Model
Conditioning makes R fixed, so the conditional covariance with Y is zero; only the changing conditional mean contributes.
E[Y∣R]=2R Cov(R,Y)=Cov(R,E[Y∣R]) Compute
Compute
Replace the conditional mean by its linear expression.
Cov(R,Y)=Cov(R,2R)=2Var(R) Cov(R,Y)=2(4.11)=8.22 Answer
Answer
The regime and defect count have covariance 8.22.
8.22(C)