I want to determine if the data(tmin) are Gaussian distributed or not by using Montecarlo simulation with skewness.

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nn=143;
for n=1:1000;
load('ERA_Livneh_Birmingham.mat')
ss(n)=std(tmin);
m(n)=mean(tmin);
med(n)=median(tmin);
nu(n)=numel(tmin)
skew_FP(n) = sum((r-m(n)).^3)/(length(n)-1)/ss(n).^3
end
hist(skew_FP())
xlabel('Skew_FP()')
ylabel('Frequency')
In this case, what do I have to change for doing montecarlo simulation by using skewness??

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