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Re: st: Re: normal distributions


From   "Scott Merryman" <merryman@icehouse.net>
To   <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Re: normal distributions
Date   Sun, 21 Jul 2002 13:58:17 -0600

You can also demonstrate the central limit theorem in Stata

type "findit central limit theorem "

brings up:

TITLE
      clt.  Central limit theorem Demonstration

DESCRIPTION/AUTHOR(S)
      Michael N. Mitchell
      Statistical Computing and Consulting
      UCLA Academic Technology Services
      mnm@ucla.edu

      STATA ado and hlp files in the package


Scott Merryman



----- Original Message -----
From: "Gene Fisher" <fisher@soc.umass.edu>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, July 21, 2002 1:43 PM
Subject: RE: st: Re: normal distributions


> 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
> > > *
> > > *   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/
> >
>
>
> *
> *   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/


*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
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*   http://www.ats.ucla.edu/stat/stata/



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