Two Sample t-test for independent groups: How to use the independent samples t-test or unpaired samples t-test to compare the means of 2 independent groups with examples!
For more Statistics and R Programming Tutorials: https://goo.gl/4vDQzT - To learn how to conduct the independent two-sample t-test with R watch this video (https://bit.ly/2lOzw9h )and to learn how to conduct the Wilcoxon Rank-Sum (Mann-Whitney U) test (the nonparametric alternative to the two-sample t-test) in R Watch this video (https://bit.ly/2kiTitg) ??Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT )
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In this statistics video, we learn to compare the means of 2 independent groups using the two-sample t-test (independent samples t-test or unpaired samples t-test). The two-sample t-test requires assuming that the variance (or standard deviation) of the two groups being compared are either equal or not equal (at the level of the population). Here, we also learn to build a confidence interval for the mean difference, as well as how this can be used to test a hypothesis. Also, we make mention of the non-parametric alternative to the independent samples t-test: the Wilcoxon rank-sum test (also known as the Mann Whitney U Test). While we do show the calculations in the video, the video focuses on the concepts underlying the test.
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