Mann Whitney U / Wilcoxon Rank-Sum Test in R | R Tutorial 4.3 | MarinStatsLectures

Mann Whitney U / Wilcoxon Rank-Sum Test in R: How to conduct the Wilcoxon Rank-Sum (Mann-Whitney U) test (the nonparametric alternative to the two- sample t- test) in R (with example).
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How to do two sample t test in R? (   • Two-Sample t Test in R (Independent Groups...  )
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In this R video tutorial, we will learn how to conduct the Wilcoxon Rank-Sum (aka Mann-Whitney U) test using R statistical software. This is the non-parametric alternative to the independent t-test. Wilcoxon Rank-Sum (Mann-Whitney U) test is appropriate for examining the difference in medians for two independent populations. It is a way of examining the relationship between a numeric outcome variable (Y variable) and a categorical explanatory variable (X variable with 2 levels) when groups are independent. In this video we will learn to use R functions and arguments such as "wilcox.test", "exact", "correct", “conf.int”, “conf.level”, “paired”, and more.


These video tutorials are useful for anyone interested in learning data science and statistics with R programming language using RStudio.


Table of Content

0:00:11 when should we use Mann-Whitney U or Wilcoxon Rank-Sum test in statistics and in research
0:00:56 how to use the "wilcox.test" function in R to conduct the nonparametric test of examining the difference in median for two independent populations
0:01:02 how to find the Help menu in R for Mann-Whitney U AKA Wilcoxon Rank-Sum test
0:01:20 how to visually examine the relationship between two independent variables by creating a boxplot before conducting Mann-Whitney U AKA Wilcoxon Rank-Sum test
0:01:42 how to conduct a two-sided nonparametric test (Wilcoxon Rank-Sum test) in R using the "wilcox.test" function
0:01:59 how to let R know that the difference in medians for the independent populations is 0 using the "mu" argument
0:02:06 how to ask R statistical software to calculate a two-sided alternative using the "alt" argument
0:02:12 how to ask R to return a nonparametric confidence interval using the "conf.int" argument
00:02:21 how to set the level of confidence interval using the "conf.level" argument in R
0:02:29 how to specify that the groups are not paired using the "paired" argument in R
0:02:41 how to ask R to return an exact p-value using the "exact" argument
0:02:48 how to ask R programming language to use a continuity correction using the "correct" argument


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