Look for discussions of the Central Limit Theorem. Depending on the
text, you will find formal mathematical demonstrations of the result, or
mathematically undemanding discussions that make the theorem plausible
even if, at first sight, it seems counter-intuitive. David Greenberg
----- Original Message -----
From: [email protected]
Date: Sunday, July 21, 2002 3:27 pm
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
> > > *
> > > * For searches and help try:
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> > > * http://www.stata.com/support/statalist/faq
> > > * http://www.ats.ucla.edu/stat/stata/
> > >
> >
> > *
> > * For searches and help try:
> > * http://www.stata.com/support/faqs/res/findit.html
> > * http://www.stata.com/support/statalist/faq
> > * http://www.ats.ucla.edu/stat/stata/
> >
>
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
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