Header: You may change groups' name to the real names.
Data: When entering data, press Enter or , (comma) after each value.
You may copy the data from Excel, Google sheets or any tool that separate data with Tab and Line Feed.
Copy one block of 2 consecutive columns includes the header, and paste below. Click to see example:
The tool will ignore empty cells or non-numeric cells
Target: To check if the difference between the ranks of two or more groups is significant, using a sample data
The Kruskal-Wallis test is a non parametric test.
When the groups have a similar distribution shape, the null assumption is stronger and states that the medians of the groups are equal.
When performing Kruskal-Wallis test, we try to determine if the difference between the ranks reflects a real difference between the groups, or is due to the random noise inside each group. The Chi-square statistic is an approximation for the exact calculation.
|H'=||12||Σ(||Rj2||) - 3(n+1)|
|1 - correction|
|Independent samples from independent groups. One subject can't be in more than one group.|
|Sample data from all compared groups.|
The following R code should produce the same results