Knowing $X \sim \operatorname{Normal}(0, \sigma)$, how come $$E\left(\frac{\sum X_i^2}{n}\right)= \sigma?$$
I had already thought of using linearity. What I don't like is $X_i^2$.
Knowing $X \sim \operatorname{Normal}(0, \sigma)$, how come $$E\left(\frac{\sum X_i^2}{n}\right)= \sigma?$$
I had already thought of using linearity. What I don't like is $X_i^2$.
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"What I don't like is $X_i^2$"
Hint:
$$E[X_i^2] = \operatorname{Var}(X_i)+(E[X_i])^2.$$