We also define ``central'' moments that express the variation of a r.v. about its mean, hence ``corrected for the mean'':
The first central moment is zero. The second central moment is the variance:
It is straightforward to show the following important identity:
We will also find useful the square root of the variance, which is the standard deviation,
