I learned that when X is a normal random variable , $X$~ $N(0,1)$ ,
$E[X^2]=1$
$E[X^4]=1.3=3$
$E[X^6]=1.3.5=15$
$E[X^8]=1.3.5.7=105$
For the general case , when variance is s , how do you do for $E[X^4], E[X^6],E[X^8] $....?
I know that $E[X^2]=Var(X)-(E[X])^2$ = s .
I got stuck for higher degree. Please help.
Let $X$ have mean $\mu$ and variance $\sigma^2$. Then $X=\sigma Z+\mu$ where $Z$ is standard normal.
Thus $X^n=(\sigma Z+\mu)^n$. Expand using the Binomial Theorem, and use the linearity of expectation and your knowledge about the $E(Z^k)$.