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Re: st: Why many things have Normal distribution
From
Yuval Arbel <[email protected]>
To
statalist <[email protected]>
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 <[email protected]> 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 <[email protected]> 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: [email protected]
> e-mail2: [email protected]
> 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: [email protected]
e-mail2: [email protected]
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/