Find Var(X) given PDF of Y

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Let $X$ and $Y$ be stochastic variables such that $X|Y=y$~$N(y,1)$ and Y is a continuous stochastic variable with PDF $3y^2$ for $0<y<1$ and $0$ else.

Find $var(X)$

I know $Var(X)=E(X^2)-E(X)^2$.

So I'm thinking I need to find EX. But I'm not certain how to find EX? I would normally try and find EX given X's PDF. So I'm left trying to figure out how to find the PDF of X.

This is exam prep and I know the result should be $Var(X)=1.04$

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By the law of total variance, we have

$$\operatorname{Var}(X) = E[\operatorname{Var}(X|Y)]+\operatorname{Var}[E(X|Y)]$$

From the information given, we have $\operatorname{Var}(X|Y)=1$ and $E(X|Y)=Y$

Hence,

$$\operatorname{Var}(X) = 1+\operatorname{Var}[Y]$$

I will leave the rest as an exercise.