Search for tag: "non-parametric methods"
6.7 The runs test | Inferential Statistics | Non-parametric tests | UvAThis video explains how the runs test works, which you can use to answer the question whether a sequence of categorical or numerical data is random based on the sequence of the individual labels.
From Sander Birkhoff
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6.6 Spearman's rank correlation coefficient | Inferential Statistics | Non-parametric tests | UvAThis video explains when to apply and how to calculate the Spearman's rank correlation coefficient. It is often treated as the non-parametric counterpart of the Pearson's correlation…
From Sander Birkhoff
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6.5 Several samples - Kruskall-Wallis test | Inferential Statistics | Non-parametric tests | UvAThis video explains how the Kruskal-Wallis test works and what it is used for. This test is the non-parametric counterpart to the one-way analysis of variance.
From Sander Birkhoff
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6.4 Two samples - Wilcoxon-Mann-Whitney test | Inferential Statistics | Non-parametric tests | UvAThis video teaches you how to use the Wilcoxon/Mann-Whitney test for two samples.
From Sander Birkhoff
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6.3 One sample - Wilcoxon signed rank test | Inferential Statistics | Non-parametric tests | UvAThis video explains how the Wilcoxon signed rank test works. You use this test when you want to compare a sample average to a theoretical value, but you can't use parametric tests because its…
From Sander Birkhoff
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6.2 Sign test | Inferential Statistics | Non-parametric tests | UvAThis video explains how a sign test works and where it can be applied. The sign test offers a non-parametric alternative to a one-sample t-test and is one of the simplest non-parametric tests.
From Sander Birkhoff
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6.1 Non-parametric tests - Why and when | Inferential Statistics | Non-parametric tests | UvAIn this video Emiel explains what non-parametric methods are and when it is wise to use them. This course consists of six modules and each module has several videos. To find the right module,…
From Sander Birkhoff
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