Stat > Basic Statistics > Outlier Test

Use to identify a single outlier in a sample. The hypotheses
are as follows:

· H0 (the null hypothesis):
All values in the sample are from the same, normally distributed population.

· H1 (the alternative
hypothesis): One of the values in the sample is not from the same, normally
distributed population.

The Dixon's ratio options help
you detect an outlier in the presence of other suspected outliers. See
Choosing the appropriate outlier
test for more discussion.

You should not use Minitab's outlier tests more than once on the same
sample. If you remove an outlier from your sample and then retest, you
risk removing values that are not actually outliers.

## Dialog box items

Variables: Enter
the columns that contain the sample data.

By
variables (optional): Enter one or more columns that contain the
By variables.
Column lengths must be equal.

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