On Thu, Feb 13, 2003 at 06:57:14AM -0500, Erik Reuter wrote:
> On Wed, Feb 12, 2003 at 10:38:47PM -0600, Julia Thompson wrote:
> > The bell curve is an example where the mean, the median and the mode are all
> > the same.
> > 
> > In a great many distributions, however, this is not the case.
> > 
> > Take, for example, number of arms per person.
> > 
> > The mean is going to be less than 2, because some people are lacking 1 or 2
> > arms, being left with 0 or 1.  But the mode is going to be 2, because almost
> > everyone has 2 arms.  And if you lined up everyone according to the number
> > of arms they have, and took the person in the middle, he'd have 2 arms, so
> > the median is 2.
> 
> On the other hand (groan), if you randomly sampled 100 people from the
> population and determined the average number of arms from that group of
> 100 and called the sampled mean x1, and then randomly sampled another
> 100 people and found the sampled mean x2, and then kept it up for, say,
> 10K samples, if you plot those data you would see a normal distribution
> of the sampled means.

On second thought, for this case where less than two arms is so
exceedingly rare, the sample size I mentioned is probably too small to
get a decent Gaussian.

In my example above, change 100 to 100K, and then it will approximate a
Gaussian.

-- 
"Erik Reuter" <[EMAIL PROTECTED]>       http://www.erikreuter.net/
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