I was reading someone's answer and I came across him using the uppercase x-bar as a notation:
"Technically, the standard error is the standard deviation of an estimator. Most commonly, this refers to sample mean $\bar X$ as an estimator of the population mean π.
So the 'standard error of the mean' is ππ·($\bar X$)=π/πβ. If π is unknown, it is estimated as the sample standard deviation π. This means that the '(estimated) standard error' is π/$\sqrt 2$."
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$\begingroup$If your sample is $X_1, \ldots, X_n$, then $\overline{X} := \frac{1}{n} \sum_{i=1}^n X_i$. Sometimes lowercase $x$ is used in place of $X$. See the Wikipedia page for more detail.
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