Transcription of Chapter 206 Two-Sample T-Test
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Chapter 206 Two-Sample T-Test
NCSS Statistical Software 206-1 NCSS, LLC. All Rights Reserved. Chapter 206 Two-Sample T-Test Introduction This procedure provides several reports for the comparison of two continuous-data distributions, including confidence intervals for the difference in means, Two-Sample t-tests, the z-test, the randomization test, the Mann-Whitney U (or Wilcoxon Rank-Sum) nonparametric test, and the Kolmogorov-Smirnov test. Tests of assumptions and plots are also available in this procedure. The data for this procedure can be contained in two variables (columns) or in one variable indexed by a second (grouping) variable. Research Questions A common task in research is to compare two populations or groups. Researchers may wish to compare the income level of two regions, the nitrogen content of two lakes, or the effectiveness of two drugs. An initial question that arises is what aspects (parameters) of the populations should be compared. We might consider comparing the averages, the medians, the standard deviations, the distributional shapes, or maximum values.
The null hypothesis then takes on the form ... This section gives a descriptive summary of each group. See the Descriptive Statistics chapter for details about this section. This report can be used to confirm that the Means and Counts are as expected .
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