Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - 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). Find practice dataset (LungCapData) here: (https://statslectures.com/r-scripts-datasets) How to do two sample t test in R? (https://youtu.be/RlhnNbPZC0A) Need More Statistics & R Programming Videos Tutorials? https://goo.gl/4vDQzT ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us Thumbs up! Either way We Thank You! 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 ► ► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►Data Science with R Course https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Hypothesis Testing: https://bit.ly/2Ff3J9e ►Linear Regression Concept and with R Lectures https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook: https://goo.gl/qYQavS Twitter: https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!