# RE: st: Re: normal distributions

 From [email protected] To [email protected] Subject RE: st: Re: normal distributions Date Sun, 21 Jul 2002 16:09:46 -0400

```Thanks Gene,Scott ,Ann ,your help has made my life so much easier,Thanks again.
Victor
Quoting Gene Fisher <[email protected]>:

> Victor,
> 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
>
> Gene Fisher
> Department of Sociology
> University of Massachusetts
> Thompson Hall, 200 Hicks Way
> Amherst, MA  01003-9277
> (413) 545-4056; [email protected]
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]]On Behalf Of [email protected]
> Sent: Sunday, July 21, 2002 3:28 PM
> To: [email protected]
> 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 <[email protected]>:
>
> > This topic is discussed in virtually every introductory statistics
> > textbook. David Greenberg, Sociology Department, New York University.
> >
> > ----- Original Message -----
> > From: [email protected]
> > 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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*
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```