KruskalWallis Test for Three or More Independent Samples
The KruskalWallis test uses sample data from three or more independent samples to test the null hypothesis that the samples are from populations with the same median.
Let's consider Example 1 in Section 135. Begin by entering the sample data (Table 136 in the textbook) in three columns as shown in the StatCrunch Data window at the end of this report.
In StatCrunch, click on Stat, click on Nonparametrics, then select KruskalWallis.
In the next window, select the columns containing the sample data, as shown below.

Click onCalculate to get these results:
KruskalWallis results:
Data stored in separate columns. Chi Square = 5.8345547 (adjusted for ties) DF = 2 Pvalue = 0.0541

Interpreting Results: See that the above results include the Pvalue of 0.0541. Because that Pvalue is large (greater than 0.05), we fail to reject the null hypothesis of equal population medians, and we get the same conclusions given in Example 1 in the textbook.
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