Re: Determining if samples are normal

[Przemek Klosowski]

   You warp it by the normal curve so that 'normal' data will produce a 
   streight line.

That's very clever, but it's not a very sensitive test: for 
y=rand(100,1)+rand(100,1)
nt(y) returns 0.996 (this holds even when one uses 10000 points for better 
stats).
The distribution of rand+rand is triangular, so noone would mistake it for a 
gaussian.



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