Central Moments

$$E((X-E(X){)}^k)$$

The first central moment is always equal to zero The second central moment is called the Variance

Variance

We also denote the variance as ${\sigma }_X^2$, where ${\sigma }_x$ is called the standard deviation

$$Var(X)=E(X^2)-(E(X){)}^2$$Link to original