![]() ![]()
The Kruskal-Wallis statistic measures how much the group ranks differ from
the average rank of all groups.
The chi-square value is obtained by squaring
each group's distance from the average of all ranks, weighting by its sample
size, summing across groups, and multiplying by a constant.
The table tells us the ratings of the strawberries differed by type of mulch used for cultivation. Like the F test in standard ANOVA, Kruskal-Wallis does not tell us how the groups differed, only that they are different in some way. The Mann-Whitney test could be used for pairwise comparisons. |
|
Kruskal-Wallis Test Table |