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Utility library for detecting and removing outliers from normally distributed datasets using the Smirnov-Grubbs test.

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Enables users to decide to use uncorrected or corrected standard deviation while preserving the default (uncorrected) behavior.

In _**"def test_once(self, data, alpha):"**_ have defined: $G=value/data.std()$ where **_"value"_** is the value to be evaluated minus the mean, given as relative postion of the value in relation of the...

Recommend that to avoid float-invalid warnings GrubbsTest._test_once return None if data.std() == 0 before calculating g.