Wilcoxon Mann-Whitney Test resources
03. Teach Yourself Worksheets (2)
Introduction to Hypothesis Testing (Worksheet)This teach yourself worksheet provides an overview of the framework used in hypothesis (significance) testing.
Wilcoxon Mann-Whitney Tests (Worksheet)The Wilcoxon Mann-Whitney test can be used instead of an independent (unpaired) samples t-test when your data are either ordinal or the assumption of normality is in doubt. This teach yourself worksheet provides an introduction to the Mann-Whitney test including how to do this using SPSS. Note: The "Analyze"--> "Nonparametric Tests"-->"2 Independent Samples" step in SPSS (see page 3) has now been changed to Analyze"--> "Nonparametric Tests" -->"LEGACY DIALOGS"-->"2 Independent Samples"
07. Community Project (1)
9 Nonparametric testing (Workshop SOURCE)This PowerPoint workshop provides an introduction to nonparametric testing. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains two associated data files, the source file and the associated statstutor metadata spreadsheet.
08. Staff Resources (1)
The Statistics Tutor's Quick Guide to Commonly Used Statistical TestsA handy quick guide to statistical tests and techniques for those providing statistics support. This covers when to use each technique along with the interpretation of results, checking assumptions and what to do if the assumptions are not met. This was developed by the MASH Centre at the University of Sheffield and contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and Alun Owen (University of Worcester) and reviewed by Jean Russell and Nick Fieller, (University of Sheffield).
10. Workshops (1)
9 Nonparametric testing (Workshop)This PowerPoint workshop provides an introduction to nonparametric testing. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield. The zip file contains two associated data files.
