# 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