mathjs/docs/reference/functions/std.md

Function std

Compute the standard deviation of a list of values, defined as the square root of the variance: std(A) = sqrt(var(A)). In case of a (multi dimensional) array or matrix, the standard deviation over all elements will be calculated.

std(a, b, c, ...)     std(A)     std(A, normalization)

Where normalization is a string having one of the following values:

Parameters

Parameter	Type	Description
array	Array | Matrix	A single matrix or or multiple scalar values
normalization	String	Default value: 'unbiased' Determines how to normalize the standard deviation: - 'unbiased' (default) The sum of squared errors is divided by (n - 1) - 'uncorrected' The sum of squared errors is divided by n - 'biased' The sum of squared errors is divided by (n + 1)

Returns

Type	Description

• | res