\begin{align*} \sigma^2 & = \left ( \frac{\sum_{k=1}^n x_k^2 }{n} \right ) - \mu^2 \\ & = \left [ \frac{\sum_{k=1}^n x_k(x_k - 1)}{n} \right ] + \mu - \mu^2 \end{align*}