On Sun, 11 Feb 2001 01:53:00 GMT, "Neo Sunrider"
<[EMAIL PROTECTED]> wrote:
> I am just taking an undergraduate introductory stats course but now I
> am faced with a somewhat difficult problem (at least for me).
>
> 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?
>
> Can anyone explain, or point me in the right direction - how can I test in
> these cases?
It reads to me as if "the results" will be 2-dimensioned, Frequency
(above: 100 or 40) and point-value (10.5 or -5) and you are combining
them "unthinkingly" as a product. Or does your notation indicate a
few outcome scores, for instance: 10.5 or -5, and the number of times
those were manifested?
You don't want to use rank-transformation, if you are rightfully
concerned with the numerical average, of the scores or of those
products....
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
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