That is true, if you are looking to see if the whole set is statistical.
But this is not correct for comparing two sets of data, you can't comingle
the data between the sets for that.

Also 65% or so should be within +/- 7.92, and all but one lie outside of
that range.  This data does not even approach a bell curve.

But give it a try with the full data set of 100 vs 1, and that one will
fail, even the way you are doing it.

Ivan Anderson wrote:

> Pretty loose application of statistics Marshall.
> Says Ivan who just passed his first statistics paper ;-)
>
> Given 2 data points 100 and 1,
> Mean = 50.5
> Standard deviation = 49.5
>
> Given 12 data points , 16, 16, 16, 16, 16, 16, 0, 0, 0, 0, 0, 1.
> Mean = 8.08
> Standard deviation = 7.92
>
> 99.7% of all outcomes lie within 3 standard deviations.
>
> There is no standard deviation of a population of 1.

I am not sure what you are speaking of.  One has a standard deviation of 1,
but the curve is not normal by any means.

Marshall


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