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Re: Determining if samples are normal


From: Mike Miller
Subject: Re: Determining if samples are normal
Date: Mon, 26 Sep 2005 12:45:57 -0500 (CDT)

On Mon, 26 Sep 2005, Przemek Klosowski wrote:

  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.


For a sample of only 100? The best way of deciding would be to compare methods. I like the idea of using rand(100,1)+rand(100,1) because it is unimodal, symmetric, easy to produce and not normal.

Mike



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