Returns a random number fitting a Gaussian, or normal, distribution.

Normal distributions look like bell curves when plotted. Values from a normal distribution cluster around a central value called the mean. The cluster's standard deviation describes its spread.

By default, `randomGaussian()`

produces different results each time a sketch runs. The randomSeed() function can be used to generate the same sequence of numbers each time a sketch runs.

There's no minimum or maximum value that `randomGaussian()`

might return. Values far from the mean are very unlikely and values near the mean are very likely.

The version of `randomGaussian()`

with no parameters returns values with a mean of 0 and standard deviation of 1.

The version of `randomGaussian()`

with one parameter interprets the argument passed as the mean. The standard deviation is 1.

The version of `randomGaussian()`

with two parameters interprets the first argument passed as the mean and the second as the standard deviation.

## Examples

## Syntax

`randomGaussian([mean], [sd])`

## Parameters

mean.

standard deviation.