Nonparametric Tests - JMP [PDF]

Sample Test, Normal Approximation. • If the variable has three or more levels (example shown right), the Kruskal-Walli

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jmp.com/learn

Ver 07/2018

Nonparametric Tests This page describes how to perform nonparametric tests in JMP®. For information on nonparametric correlations and measures of association, see the page Nonparametric Correlations.

One-Sample Nonparametric Tests 1. From an open JMP data table, select Analyze > Distribution. 2. Select one or more continuous variables from Select Columns, click Y, Columns, and click OK. 3. From the Distributions report window, click on the red triangle for the variable and select Test Mean. 4. Enter the hypothesized value under Specify Hypothesized Mean, check the Wilcoxon Signed Rank box, and click OK.

Car Physical Data.jmp (Help > Sample Data Library)

The following results for both the one-sample t-Test and the Signed-Rank are given (for the variable Horsepower): • • •

The test statistics (the t-Ratio and Signed-Rank). P-values for both one- and two-tailed tests. The p-value for the two-tailed test is next to Prob > |t|. A graph to aid in interpreting the t-Test, showing the hypothesized mean (center of the curve) and the sample mean (red line).

Two-Sample and Oneway Nonparametric Tests 1. Select Analyze > Fit Y by X. 2. Select a continuous variable and click Y, Response, and select a categorical variable and click X, Factor, then click OK. 3. The Oneway Analysis output window will display. 4. Under the red triangle, select Nonparametric > Wilcoxon Test. • If the categorical variable has two levels, the Wilcoxon Rank Sum Test (also called the MannWhitney Test) will be performed, along with the 2Sample Test, Normal Approximation. • If the variable has three or more levels (example shown right), the Kruskal-Wallis Test will be performed.

Notes: For paired data, use Analyze > Specialized Modeling > Matched Pairs. Exact versions of nonparametric tests are available in JMP Pro only. See the Basic Analysis book (under Help > Books) or the online documentation (jmp.com/support/help/) for more information.

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