# Exercise C.3.8

Which is larger: The expectation of the square of a random variable, or the square of its expectation?

We know that:

$$\E[f(X)] \ge f(\E[X])$$

If $f(x) = x^2$:

$$\E[X^2] \ge \E^2[X]$$

The expectation of the square is larger.