Standard Deviation (SD) measures the amount of variation or dispersion in a set of numerical values. It tells us how far individual data points deviate from the mean of the data set.
\[ s = \sqrt{\text{variance}} = \sqrt{s^2} = \sqrt{\frac{1}{n} \sum_{i=1}^{n}(x_i - \bar{x})^2} \]