In article <0gmh6.222677$[EMAIL PROTECTED]>,
Neo Sunrider <[EMAIL PROTECTED]> wrote:
>If I want to test a hypothesis (t-test, z-score etc.) and the underlying
>distribution will under no circumstances aproach normal... (i.e. the results
>of the experiement will always be something like 100*10.5, 40*-5 etc.) The
>Central Limit Theorem doesn't help here, or does it?
I don't think you'll receive any sensible advise until you explain what
you mean by "100*10.5" or "40*-5". My best guess is that you mean that
you have 100 data points that are all 10.5, or 40 data points that are
all -5. If so, you'll have to explain why your data is like that.
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Radford M. Neal [EMAIL PROTECTED]
Dept. of Statistics and Dept. of Computer Science [EMAIL PROTECTED]
University of Toronto http://www.cs.utoronto.ca/~radford
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