Independent solution

How to solve this Marginal Distributions question

Answer in brief

Summing the joint mass over the second coordinate gives marginal probabilities 0.1, 0.3, and 0.6 at the positive values of X. The resulting first and second moments are 2.5 and 6.7, so the variance is 0.45 and choice A.

Setup

Setup

Marginalize the supplied joint mass function over every allowed value of the second coordinate.

pX(x)=y=0xx+2y40,x=0,1,2,3p_X(x)=\sum_{y=0}^{x}\frac{x+2y}{40},\qquad x=0,1,2,3

Model

Model

The finite arithmetic sum reduces to a simple marginal mass function.

y=0x(x+2y)=x(x+1)+x(x+1)=2x(x+1)\sum_{y=0}^{x}(x+2y)=x(x+1)+x(x+1)=2x(x+1)
pX(x)=x(x+1)20p_X(x)=\frac{x(x+1)}{20}

Compute

Compute

Calculate both raw moments from the marginal probabilities.

Pr(X=1)=0.1,Pr(X=2)=0.3,Pr(X=3)=0.6\Pr(X=1)=0.1,\qquad \Pr(X=2)=0.3,\qquad \Pr(X=3)=0.6
E[X]=1(0.1)+2(0.3)+3(0.6)=2.5\operatorname{E}[X]=1(0.1)+2(0.3)+3(0.6)=2.5
E[X2]=12(0.1)+22(0.3)+32(0.6)=6.7\operatorname{E}[X^2]=1^2(0.1)+2^2(0.3)+3^2(0.6)=6.7
Var(X)=6.7(2.5)2=0.45\operatorname{Var}(X)=6.7-(2.5)^2=0.45

Answer

Answer

The marginal variance is 0.45.

Var(X)=0.45(A)\boxed{\operatorname{Var}(X)=0.45\quad\text{(A)}}