In D, .1 will be set as the "global min" but it is a mistake and 1500 should be set as the true global min.

To eleborate on ww’s response:

As LanX says, the standard test for outliers is Grubbs’s test. There is an online calculator for Grubbs’s test at http://www.graphpad.com/quickcalcs/grubbs2/, and entering your sample data for series “D” — with Alpha set to either 0.05 or 0.01 — produces the following result :

Row Value Z Significant Outlier?
1 0.1 1.471 Furthest from the rest, but not a significant outlier (P > 0.05).
2 1500.0 0.173
3 1700.0 0.000
4 2100.0 0.346
5 3200.0 1.298

So, why do you identify 0.1 as an outlier?

Athanasius <°(((>< contra mundum Iustus alius egestas vitae, eros Piratica,

In reply to Re: How to best eliminate values in a list that are outliers by Athanasius
in thread How to best eliminate values in a list that are outliers by Anonymous Monk

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