The standard deviation is the square root of the variance. If this data comes from the entire universe of possibilities then we call it a population standard deviation and denote this value by \(\sigma\text{.}\) Therefore
\begin{equation*}
\sigma = \sqrt{\frac{\sum_{k=1}^n ( x_k-\mu )^2}{n}}.
\end{equation*}