1. The random variable $X$ has mean $\mu$ and variance ${ \sigma }^{2}$.  The arithmetic mean of $n$ independent observations of $X$ is denoted by ̅X.

Show that E(̅X)= \mu and Var(̅X)=\frac{{ \sigma }^{2}}{n}.