Week 7 - Assignment: Conduct a Comparative Analysis of Non-Parametric Statistics in Extant Literature
SAGE Research Methods Video
Mann-Whitney U Test
Video Title: Mann-Whitney U Test
Originally Published: 2016
Publication Date: Sep. 30, 2016
Publishing Company: SAGE Publications, Inc.
City: Thousand Oaks, United States
ISBN: 9781506359120
DOI: https://dx.doi.org/10.4135/9781506359120
(c) SAGE Publications Inc., 2017
HERSCHEL KNAPP: Welcome to Practical Statistics for Nursing Using SPSS. This video shows how to process the Mann-Whitney U test. You can watch the entire video, or use the time slider to navigate directly to any point. [Mann-Whitney U Test Video] The Mann-Whitney U test is quite similar to the t test.
HERSCHEL KNAPP [continued]: Before proceeding, it's recommended that you first view the video CH05-tTest.mp4. [Mann-Whitney U Test Overview] In terms of setup and results, the Mann-Whitney U test and the t test are quite similar. Remember that the t test has three pretest criteria,
HERSCHEL KNAPP [continued]: normality, n quota, and homogeneity of variance. If there are any violations among these criteria, the Mann-Whitney U test should be used instead of the t test. [ANOVA Prestest Checklist] To reiterate, when any of the pretest criteria for the t test
HERSCHEL KNAPP [continued]: are not satisfied, use the Mann-Whitney U test instead. [Mann- Whitney U Test Test Run] This example uses the data set Ch05-Example01-tTest.sav. To run the Mann-Whitney U test, click on Analyze,
HERSCHEL KNAPP [continued]: nonparametric tests, legacy dialogs, two independent samples. Move systolic BP to the test variable list, and move group to the grouping variable. Click on group, question mark, question mark,
HERSCHEL KNAPP [continued]: then click on define groups. For Group 1, enter 1. For Group 2, enter 2. This is because we define Drug A as Group 1 and Drug B as Group 2. Click Continue. Click OK, and it will process.
HERSCHEL KNAPP [continued]: [Mann-Whitney U Test Results] The Mann-Whitney U test produced a p value of 0.011. Since this is less than or equal to 0.5, this tells us that Drug A statistically significantly outperformed Drug B when it comes to lowering blood pressure.
HERSCHEL KNAPP [continued]: This concludes this video.
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SAGE Research Methods Video
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