Independent solution

How to solve this Joint Distributions question

Answer in brief

This is a marginal-distribution variance calculation. The stated mean fixes p=0.12, normalization gives q=0.16, and the afternoon-distance second moment is 48, so the variance is 48-6^2=12 and choice B is correct.

Setup

Setup

Collapse the joint table over the morning categories. The afternoon distance A has masses q, 4p, and 3p at 0, 5, and 10, respectively.

Pr(A=0)=q,Pr(A=5)=4p,Pr(A=10)=3p\Pr(A=0)=q,\qquad \Pr(A=5)=4p,\qquad \Pr(A=10)=3p

Model

Model

Use the supplied mean to determine p, then use total probability to determine q.

E[A]=5(4p)+10(3p)=50p=6E[A]=5(4p)+10(3p)=50p=6
7p+q=17p+q=1

Compute

Compute

After solving for the two table parameters, calculate the second moment and subtract the square of the mean.

p=0.12,q=0.16p=0.12,\qquad q=0.16
E[A2]=25(4p)+100(3p)=400p=48E[A^2]=25(4p)+100(3p)=400p=48
Var(A)=4862=12\operatorname{Var}(A)=48-6^2=12

Answer

Answer

The variance of the afternoon distance is 12 square miles.

12.0(B)\boxed{12.0\quad\text{(B)}}