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Standard deviation is calculated by finding the squared differences from the mean, averaging those squared differences to get the variance, and then taking the square root of the variance. The formula is $\sigma = \sqrt{\frac{\sum (X - \mu)^2}{N}}$.

Conditions: The mean $\mu$ of the dataset has already been calculated.

Standard deviation is calculated by finding the squared differences from the mean, averaging those squared differences to get the variance, and then taking the square root of the variance. The formula is $\sigma = \sqrt{\frac{\sum (X - \mu)^2}{N}}$.

Conditions: The mean $\mu$ of the dataset has already been calculated.