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Project biostatistician, six sigma
October 01, 2003
Determining whether a data point is an "outlier" - a result that does not fit, is too high or too low, is extreme or discordant - is difficult when using small data sets, such as the data from three, four or five conformance runs. In this article, the authors demonstrate that the Weisberg t-test is a powerful tool for detecting deviations in small data sets.