Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures скачать в хорошем качестве

Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures

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 ) ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Like! Either way, We Thank You! 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. ►► Watch More: ► Statistics Course for Data Science https://bit.ly/2SQOxDH ►R Course for Beginners: https://bit.ly/1A1Pixc ►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R using R Studio (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm ►ANOVA Statistics and ANOVA with R using R Studio : https://bit.ly/2zBwjgL ►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e ►Linear Regression Statistics and Linear Regression with R : 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 statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), 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! #statistics #rprogramming