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