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Kruskal-Wallis Test in Excel

When to Use the Kruskal-Wallis Test

A Kruskal-Wallis test is like an Analysis of Variance (ANOVA). It is a non-parametric test that compares unmatched groups. Samples must be random, independent and five or more per sample.

 

Kruskal-Wallis Example

A golfer wants to compare three drivers to determine which one is the longest. He hits five drives with each driver and measures the distance.

To conduct a test using QI Macros he will:

1. Click on the QI Macros menu > Stat Templates to open the non-parametric test template. Then select the "Kruskal-Wallis" tab.
2. Input the data into the yellow shaded cells in columns A:I.
3. QI Macros will perform the calculations in columns J:R and display the results in columns S:AA. In the example, below we have hidden the unused columns. (Note never delete rows or columns in QI Macros templates as you may accidentally break formulas.)

Interpreting the Hypothesis Test results: Since p (0.151) is greater than alpha (0.05), he cannot reject the null hypothesis (accept the null hypothesis) that the distance of all three drivers is the same. If p was less than alpha, he would reject the null hypothesis.

*Default Significance Level is 0.05*

H: This is the test statistic that helps you determine whether the medians of two (or more) groups are different, in combination with your p value.

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