What standard deviation describes
Standard deviation summarizes how far values typically lie from their arithmetic mean. A value of zero means every entered observation is identical. A larger result indicates more spread in the same measurement units as the original data. Variance is the square of the standard deviation and therefore uses squared units.
Sample versus population
Select population when the entered values are every member of the group you intend to describe. Population variance divides the sum of squared deviations by n. Select sample when the values are observations used to estimate a broader population. The sample calculation divides by n − 1, commonly called Bessel’s correction, and requires at least two values.
How the calculation is performed
The calculator finds the mean and accumulates squared differences from it. It then divides by the selected denominator and takes the square root. Inputs are parsed as finite decimal numbers. Results also include the count, sum, mean, and variance so you can check the data and distinguish squared variance from standard deviation.
A single summary cannot reveal outliers, clusters, skew, data-entry errors, dependence, or whether a sample is representative. Review the underlying distribution before drawing statistical conclusions.