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What is Dixon Outlier Test Overview about?

This document outlines the Dixon outlier test, which is used to identify potential outlier values in a data set. It calculates the absolute difference between each data pair and ranks them from smallest to largest. Both ends of the data are tested to see if one value is an outlier. If outliers are detected, the data set can be retested. After outliers are excluded, a paired t-test is performed on the remaining data. The results are qualified if the t-test p-value is above 0.05 or the mean difference is less

Author

Israel Chosid Chosid

Language

EN