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From your previous experience with the Poisson, Exponential, and Gamma distributions, you should also remember that each required a known value for \(\mu\) before proceeding with calculations. It is sensible to consider estimating the unknown population mean \(\mu\) using the sample mean
\begin{equation*} \mu \approx \overline{x} = \frac{\sum x_k}{n} \end{equation*}
where the values \(x_k\) are the n individual sample values.
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