The Two-Sample t-Test and Randomization Test

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چکیده

Many Six Sigma practitioners use “Student’s” independent two-sample t-test when investigating differences in means. This type of test is based upon drawing random samples from two independent normal (Gaussian) distributions. Often, however, the assumption of normality and/or random sampling is violated. This article discusses when and why the two-sample t-test may be considered robust to these assumptions by comparing t-test results to randomization test results.

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تاریخ انتشار 2003