Using the Box-Muller transform to generate pseudorandom numbers with any sigma and mean

algorithm, language-agnostic, random

Solution

There's no need for a separate method. A well know result from statistics is that you can convert back and forth between a standard normal (Gaussian) value Z to a general Gaussian X with mean mu and standard deviation sigma by the simple transformation `X = sigma*Z + mu`, or vice-versa, `Z = (x - mu)/sigma`. This is why statistics books only need/provide one table for the Gaussian distribution.

Problem

Original source