Let $X$ be a real-valued random variable with $E[X]$ and $E[X^{2}]$ denoting the mean values of $X$ and $X^{2},$ respectively. The relation which always holds true is

- $(E[X])^{2}>E[X^{2}]$
- $E[X^{2}]\geq (E[X])^{2}$
- $E[X^{2}] = (E[X])^{2}$
- $E[X^{2}] > (E[X])^{2}$