Normal test

[Hendrik Naumann]

Hi

I want to test if my data (in fact a distribution calcutated with a 
monte-carlo simulation) satisfy the normal distribution.

I tried somthing like that


load data; # about 18000 values
normdis = randn(length(data),1) .* std(data) + mean(data));

[pval, chisq, df] = chisquare_test_homogeneity (data, normdis, 
linspace(min(data), max(data), 40));


I'm not very shure if that makes sense at all, because I do not 
understand the code of the chisquare_test_homogeneity function.

If it makes sense, I still have the problem that the results vary 
rather strong, because I create the normal distribution with 
randomnumbers.

Is there an other function I can use?


Thanks Hendrik Naumann



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