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  2. Kruskal–Wallis test - Wikipedia

    en.wikipedia.org/wiki/KruskalWallis_test

    The parametric equivalent of the KruskalWallis test is the one-way analysis of variance (ANOVA). A significant KruskalWallis test indicates that at least one sample stochastically dominates one other sample. The test does not identify where this stochastic dominance occurs or for how many pairs of groups stochastic dominance obtains.

  3. Van der Waerden test - Wikipedia

    en.wikipedia.org/wiki/Van_der_Waerden_test

    The most common non-parametric test for the one-factor model is the Kruskal-Wallis test. The Kruskal-Wallis test is based on the ranks of the data. The advantage of the Van Der Waerden test is that it provides the high efficiency of the standard ANOVA analysis when the normality assumptions are in fact satisfied, but it also provides the ...

  4. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1]The choice of the test depends on many properties of the research question.

  5. Jonckheere's trend test - Wikipedia

    en.wikipedia.org/wiki/Jonckheere's_Trend_Test

    In statistics, the Jonckheere trend test [1] (sometimes called the Jonckheere–Terpstra [2] test) is a test for an ordered alternative hypothesis within an independent samples (between-participants) design. It is similar to the Kruskal-Wallis test in that the null hypothesis is that several independent samples are from the same population ...

  6. ANOVA on ranks - Wikipedia

    en.wikipedia.org/wiki/ANOVA_on_ranks

    In statistics, one purpose for the analysis of variance (ANOVA) is to analyze differences in means between groups. The test statistic, F, assumes independence of observations, homogeneous variances, and population normality. ANOVA on ranks is a statistic designed for situations when the normality assumption has been violated.

  7. Scheirer–Ray–Hare test - Wikipedia

    en.wikipedia.org/wiki/Scheirer–Ray–Hare_test

    It is an extension of the KruskalWallis test, the non-parametric equivalent for one-way analysis of variance , to the application for more than one factor. It is thus a non-parameter alternative to multi-factorial ANOVA analyses. The test is named after James Scheirer, William Ray and Nathan Hare, who published it in 1976. [1]

  8. Dog Trainer Reveals Big Mistake People Make When Teaching ...

    www.aol.com/dog-trainer-reveals-big-mistake...

    I'm guilty of this myself! Steve explains in the caption that a leader would never react to negative behavior this way. He also reminds us, "If your dog is moving on their place, let them. The ...

  9. Rank test - Wikipedia

    en.wikipedia.org/wiki/Rank_test

    In statistics, a rank test is any test involving ranks. ... Wilcoxon signed-rank test; KruskalWallis one-way analysis of variance. Mann–Whitney U (special case)