Video 6 - Using SAS Studio for Two Sample T-tests and Mann-Whitney U Tests (Wilcoxon Rank Sum Test) скачать в хорошем качестве

Video 6 - Using SAS Studio for Two Sample T-tests and Mann-Whitney U Tests (Wilcoxon Rank Sum Test)

When comparing two continuous variables that are not paired, an unpaired t-test may be appropriate. The unpaired test is also known as the independent t-test. When the data are not normally distributed for one or both variables, a nonparametric equivalent test may be more appropriate. The nonparametric equivalent test is known as the Mann-Whitney U Test and also has the name of the Wilcoxon Rank Sum Test. If performing the unpaired t-test, it is good to know that unpaired tests can assume equal variance or unequal variance. The performance of a folded f-test can help inform whether or not equal variance should or should not be assumed. An unpaired t-test (also known as an independent t-test) is a statistical procedure that compares the averages/means of two independent or unrelated groups to determine if there is a significant difference between the two. The nonparametric equivalent compares the rank sums (the sums of the ranks). In this video, we cover the simplicity of using SAS Studio for performing these tests and for using the SAS Studio options to perform all these tests in one simple SAS program code. If you are having difficulty deciding which tests to use and the data are for consequential research or more, please consult a statistician.