Original practice · fully worked
Original variant: aggregate indicator variance with dependence
Three event indicators I1, I2, and I3 each have event probability 0.20. Every pair has covariance 0.02. A payment of 100 is made for each occurring event. Calculate the variance of the aggregate payment.
- A
0.60 - B
1600 - C
4800 - D
5400 - E
6000
Answer and calculation
The indicator-count variance is 3(0.16)+2(3)(0.02)=0.60. Multiplying by 100² gives aggregate payment variance 6000, choice E.
Setup
Setup
Write the aggregate as 100 times the sum of three indicators.
T=100(I1+I2+I3) Var(Ii)=0.2(0.8)=0.16 Model
Model
Include each of the three pairwise covariances twice in the variance of a sum.
Var(I1+I2+I3)=3(0.16)+2(23)(0.02) Compute
Compute
Evaluate the count variance and apply the squared payment scale.
Var(I1+I2+I3)=0.60 Var(T)=1002(0.60)=6000 Answer
Answer
The aggregate payment variance is 6000.
6000(E)