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Overview of the Kruskal-Wallis test:

In Statistics, the Kruskal-Wallis test, also known as the one-way ANOVA is basically a rank-based non-parametric test, which can be employed to figure out, whether there are statistically substantial differences between the two or more than two groups of an independent variable or constant variable. It generally concentrates on the non-parametric option of the one-way ANOVA and the extension of Mann-Whitney test to let them to compare two or more than two independent groups.

Attributes of Kruskal-Wallis test:

- No assumptions are made regarding the type of underlying circulation.

- It is supposed that all the groups encompass a circulation having the precise similar shape.

- No population stipulation is estimated, thus there are no self-confidence periods.

- Make use of the Kruskal-Wallis test to recognize whether the means of two or more than two groups differ or not for the non-symmetric information.

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