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RE: st: Re: normal distributions


From   "Gene Fisher" <fisher@soc.umass.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Re: normal distributions
Date   Sun, 21 Jul 2002 15:43:52 -0400

Victor,
	This site may help your intuition:
http://www.math.csusb.edu/faculty/stanton/m262/central_limit_theorem/clt.htm
l.  Also look at this site:
http://www.statisticalengineering.com/central_limit_theorem.htm.  There are
ever so many more references you can obtain from a search of Central Limit
Theorem on Google.

Gene Fisher
Department of Sociology
University of Massachusetts
Thompson Hall, 200 Hicks Way
Amherst, MA  01003-9277
(413) 545-4056; fisher@soc.umass.edu

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of kusi@yorku.ca
Sent: Sunday, July 21, 2002 3:28 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Re: normal distributions

Thanks,but that is why I am concerned about my inability to get its
intuition.It seems contradictory to me,that an inherently negatively or
positively skewed population distribution,could be normalised,by enlarging
the
sample size.If anything,that should retrace the skewness and not normalize
the
skewness.
Victor


 Quoting David Greenberg <dg4@nyu.edu>:

> This topic is discussed in virtually every introductory statistics
> textbook. David Greenberg, Sociology Department, New York University.
>
> ----- Original Message -----
> From: kusi@yorku.ca
> Date: Sunday, July 21, 2002 1:33 pm
> Subject: st: Re: normal distributions
>
> > Dear subscribers,
> > can anyone help me understand how is it that for types of
> > population
> > distributions that are non-normal the sampling distribution of
> > Xbar is
> > approximately normal for sufficiently large samples.
> > Thanks Victor Michael Zammit
> > *
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> >
>
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>


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