At 12:00 PM 5/8/99 -0400, Chris Nash wrote:
>This is a real good point - if we are assuming a Gaussian distribution, then
>we are assuming the best case. The worst case is given by Tchebycheff's
>theorem, which states that, given a probability distribution where only the
>mean and standard deviation is known, then the probability that an
>observation will fall more than x standard deviations from the mean is
>bounded above *only* by 1/x^2.
Yes, but that is a really bad worst case. Pathological even. Looking at the
graphs of the two data sets, you can tell that it is reasonably well behaved.
+-------------------------------------------+
| Jud McCranie [EMAIL PROTECTED] |
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| I have macular stars in my eyes. |
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