Kruskal Wallis Test. The kruskal wallis test is a nonparametric distribution free test and is used when the assumptions of one way anova are not met. A total of 30 plants were used in the analysis.
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Non parametric means that the test doesn t assume your data comes from a particular distribution. Allen wallis or one way anova on ranks is a non parametric method for testing whether samples originate from the same distribution. The kruskal wallis test 1952 is a nonparametric approach to the one way anova.
It is used for comparing two or more independent samples of equal or different sample sizes.
The kruskal wallis test is a nonparametric distribution free test and is used when the assumptions of one way anova are not met. It is generally used when the measurement variable does not meet the normality assumptions of one way anova. It is also a popular nonparametric test to compare outcomes among three or more independent unmatched groups. A kruskal wallist test was performed to determine if median plant growth was the same for three different plant fertilizers.
