I want to compare the mean absolute deviation with standard deviation in general case with this definition:
$$MAD = \frac{1}{n-1}\sum_1^n|x_i - \mu|, \qquad SD = \sqrt{\frac{\sum_1^n(x_i-\mu)^2}{n-1}}$$
where $\mu =\frac{1}{n}\sum_1^n x_i$.
Is it true that $MAD \le SD$ for every $\{x_i\}^n_1$?
It's false for $n=2$, becouse $x+y \ge \sqrt{x^2+y^2}$, for every $x, y \ge 0$.
It's easy to show that:
$$MAD \le \sqrt{\frac{n}{n-1}} \times SD$$