Independent solution

How to solve this Sums of Independent Random Variables question

Setup

Setup

Recover the mean of the unobserved component by subtracting component means.

E[Z]=E[X]E[Y]=2.001.20=0.80E[Z]=E[X]-E[Y]=2.00-1.20=0.80

Model

Model

For independent components, the variance of their sum is the sum of their variances.

Var(Z)=Var(X)Var(Y)\operatorname{Var}(Z)=\operatorname{Var}(X)-\operatorname{Var}(Y)
Var(Z)=2.250.90=1.35\operatorname{Var}(Z)=2.25-0.90=1.35

Compute

Compute

Divide the component standard deviation by its mean.

CV(Z)=1.350.80=1.452368754\operatorname{CV}(Z)=\frac{\sqrt{1.35}}{0.80}=1.452368754\ldots

Answer

Answer

The coefficient of variation rounds to 1.45.

1.45(E)\boxed{1.45\quad\text{(E)}}