RosettaCodeData/Task/Random-numbers/Picat/random-numbers.picat

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main =>
_ = random2(), % random seed
G = [gaussian_dist(1,0.5) : _ in 1..1000],
println(first_10=G[1..10]),
println([mean=avg(G),stdev=stdev(G)]),
nl.
% Gaussian (Normal) distribution, Box-Muller algorithm
gaussian01() = Y =>
U = frand(0,1),
V = frand(0,1),
Y = sqrt(-2*log(U))*sin(2*math.pi*V).
gaussian_dist(Mean,Stdev) = Mean + (gaussian01() * Stdev).
% Variance of Xs
variance(Xs) = Variance =>
Mu = avg(Xs),
N = Xs.len,
Variance = sum([ (X-Mu)**2 : X in Xs ]) / N.
% Standard deviation
stdev(Xs) = sqrt(variance(Xs)).