Numpy outlier removal

[Joseph L. Casale]

> In other words: this approach for detecting outliers is nothing more than 

> a very rough, and very bad, heuristic, and should be avoided.

Heh, very true but the results will only be used for conversational purposes.
I am making an assumption that the data is normally distributed and I do expect
valid results to all be very nearly the same.

> You can read up more about outlier detection, and the difficulties 
> thereof, here:


I much appreciate the links and the thought in the post. I'll admit I didn't
realize outlier detection was as involved.


Again, thanks!
jlc