Problem Statement

Generate a collection filled with   1000   normally distributed random (or pseudo-random) numbers with a mean of   1.0   and a   standard deviation   of   0.5 Many libraries only generate uniformly distributed random numbers. If so, you may use one of these algorithms.

Let's start with the solution:

randNormal = function(mean=0, stddev=1)
    return mean + sqrt(-2 * log(rnd,2.7182818284)) * cos(2*pi*rnd) * stddev
end function

x = []
for i in range(1,1000)
    x.push randNormal(1, 0.5)
end for