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  2. Kruskal–Wallis test - Wikipedia

    en.wikipedia.org/wiki/KruskalWallis_test

    The Kruskal-Wallis test can be implemented in many programming tools and languages. We list here only the open source free software packages: In Python's SciPy package, the function scipy.stats.kruskal can return the test result and p-value. [18] R base-package has an implement of this test using kruskal.test. [19]

  3. Jonckheere's trend test - Wikipedia

    en.wikipedia.org/wiki/Jonckheere's_Trend_Test

    When there is an a priori ordering, the Jonckheere test has more statistical power than the KruskalWallis test. The test was developed by Aimable Robert Jonckheere , who was a psychologist and statistician at University College London .

  4. One-way analysis of variance - Wikipedia

    en.wikipedia.org/wiki/One-way_analysis_of_variance

    If data are ordinal, a non-parametric alternative to this test should be used such as KruskalWallis one-way analysis of variance. If the variances are not known to be equal, a generalization of 2-sample Welch's t-test can be used. [2]

  5. SOFA Statistics - Wikipedia

    en.wikipedia.org/wiki/SOFA_Statistics

    The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson's chi squared, Kruskal Wallis H, one-way ANOVA, Spearman's R, and Pearson's R. Nested tables can be produced with row and column percentages, totals, standard deviation, mean, median, lower and upper quartiles, and sum.

  6. William Kruskal - Wikipedia

    en.wikipedia.org/wiki/William_Kruskal

    William Henry Kruskal (/ ˈ k r ʌ s k əl /; October 10, 1919 – April 21, 2005) was an American mathematician and statistician. He is best known for having formulated the KruskalWallis one-way analysis of variance (together with W. Allen Wallis ), a widely used nonparametric statistical method .

  7. Nonparametric statistics - Wikipedia

    en.wikipedia.org/wiki/Nonparametric_statistics

    KruskalWallis one-way analysis of variance by ranks: tests whether > 2 independent samples are drawn from the same distribution. Kuiper's test: tests whether a sample is drawn from a given distribution, sensitive to cyclic variations such as day of the week. Logrank test: compares survival distributions of two right-skewed, censored samples.

  8. Top Trump prosecutor in DC, who was present at Capitol riot ...

    www.aol.com/news/top-trump-prosecutor-dc-present...

    As President Donald Trump moved last month to free the people who stormed the U.S. Capitol, his newly appointed top prosecutor in Washington put his name on a request that a judge drop charges ...

  9. Talk:Kruskal–Wallis test - Wikipedia

    en.wikipedia.org/wiki/Talk:KruskalWallis_test

    The Kruskal-Wallis test is designed to detect stochastic dominance, so the null hypothesis is the absence of stochastic dominance. Using multi-modal distributions you can quickly generate counter examples to the claim "the null hypothesis of the Kruskal-Wallis is equal distribution of the samples".