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| From | Yuval Arbel <yuval.arbel@gmail.com> |
| To | statalist <statalist@hsphsun2.harvard.edu> |
| Subject | Re: st: Why many things have Normal distribution |
| Date | Thu, 29 Aug 2013 14:42:13 -0700 |
Another example is throwing a fair die (or toss a fair coin) and write the outcomes. On Thu, Aug 29, 2013 at 2:38 PM, Yuval Arbel <yuval.arbel@gmail.com> wrote: > What about the central limit theorem? I was referring to physical > human features - such as height - and the example of Napoleon's army > candidates for draft. In an army of millions of soldiers - you would > expect a normal distribution of heights. The problem is that those who > tried to avoid drafting probably bribed somebody to write false > heights, which is shorter than the minimal required height. In this > case - you might get a skewed distribution of heights > > On Thu, Aug 29, 2013 at 2:25 PM, David Hoaglin <dchoaglin@gmail.com> wrote: >> Yuval, >> >> What empirical evidence do you have for the statement that "for very >> large samples - if the distribution is not approximately normal - >> there is something wrong with the data"? >> >> In practice, the opposite is the rule: As the sample size becomes >> larger, the departure of the distribution from a normal distribution >> becomes more evident. >> >> David Hoaglin >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/faqs/resources/statalist-faq/ >> * http://www.ats.ucla.edu/stat/stata/ > > > > -- > Dr. Yuval Arbel > School of Business > Carmel Academic Center > 4 Shaar Palmer Street, > Haifa 33031, Israel > e-mail1: yuval.arbel@carmel.ac.il > e-mail2: yuval.arbel@gmail.com > You can access my latest paper on SSRN at: http://ssrn.com/abstract=2263398 > You can access previous papers on SSRN at: http://ssrn.com/author=1313670 -- Dr. Yuval Arbel School of Business Carmel Academic Center 4 Shaar Palmer Street, Haifa 33031, Israel e-mail1: yuval.arbel@carmel.ac.il e-mail2: yuval.arbel@gmail.com You can access my latest paper on SSRN at: http://ssrn.com/abstract=2263398 You can access previous papers on SSRN at: http://ssrn.com/author=1313670 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/