The standard error is calculated using the formula:
\[
SE = \frac{\sigma}{\sqrt{n}}
\]
where \(\sigma\) is the standard deviation and \(n\) is the sample size. The standard error represents the variability of the sample mean and gives an estimate of how much the sample mean is expected to vary from the true population mean.