+ The Mann-Whitney U Test is a nonparametric version of the independent samples t- test. The...
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+ The Mann-Whitney U Test is a nonparametric version of the independent samples t- test. The test primarily deals with two independent samples that contain ordinal data. The following example explains the comparison between the nonparametric versus parametric tests. 1. Select the best choice for the analysis and explain the reason. ResultsS.S. Bayesian Independent Samples T-Test Descriptive Statistics Independent Samples T-Test Independent Samples T-Test Test WBC Student Assumption Checks WBC Mann-Whitney 2339.000 Test of Normality (Shapiro-Wilk) Descriptives Statistic df P 0 0.318 137 0.751 Group Descriptives WBC 0 1 W 0.394 1 0.800 Group N Mean SD SE Note. Significant results suggest a deviation from normality. 70 8.539 9.384 1.122 0.750 69 8.142 4.405 0.530 P <.001 <.001 + The Mann-Whitney U Test is a nonparametric version of the independent samples t- test. The test primarily deals with two independent samples that contain ordinal data. The following example explains the comparison between the nonparametric versus parametric tests. 1. Select the best choice for the analysis and explain the reason. ResultsS.S. Bayesian Independent Samples T-Test Descriptive Statistics Independent Samples T-Test Independent Samples T-Test Test WBC Student Assumption Checks WBC Mann-Whitney 2339.000 Test of Normality (Shapiro-Wilk) Descriptives Statistic df P 0 0.318 137 0.751 Group Descriptives WBC 0 1 W 0.394 1 0.800 Group N Mean SD SE Note. Significant results suggest a deviation from normality. 70 8.539 9.384 1.122 0.750 69 8.142 4.405 0.530 P <.001 <.001
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Elementary Statistics
ISBN: 978-0538733502
11th edition
Authors: Robert R. Johnson, Patricia J. Kuby
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