# Function var #

Compute the variance of a matrix or a list with values. In case of a (multi dimensional) array or matrix, the variance over all elements will be calculated.

Optionally, the type of normalization can be specified as second parameter. The parameter `normalization` can be one of the following values:

• ‘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)

Note that older browser may not like the variable name `var`. In that case, the function can be called as `math['var'](...)` instead of `math.var(...)`.

## Syntax #

``````math.var(a, b, c, ...)
math.var(A)
math.var(A, normalization)
``````

### Parameters #

Parameter Type Description
`array` Array | Matrix A single matrix or or multiple scalar values
`normalization` string Determines how to normalize the variance. Choose ‘unbiased’ (default), ‘uncorrected’, or ‘biased’. Default value: ‘unbiased’.

Type Description
* The variance

## Examples #

``````math.var(2, 4, 6)                     // returns 4
math.var([2, 4, 6, 8])                // returns 6.666666666666667
math.var([2, 4, 6, 8], 'uncorrected') // returns 5
math.var([2, 4, 6, 8], 'biased')      // returns 4

math.var([[1, 2, 3], [4, 5, 6]])      // returns 3.5
``````