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"

3 questions. 1. Uses the chi-squared test to see if there is any significant difference in preferences. 2. Find out whether the data presented in this question follows a Poisson distribution. Uses the chi-squared test. 3. The human resources department of a large finance company is attempting to determine if an employee's performance is influenced by their undergraduate degree subject. Personnel ratings are used to judge performance and the task is to use expected frequencies and the chi-squared statistic to test the null hypothesis that there is no association. Numbas resources have been made available under a Creative Commons licence by the School of Mathematics & Statistics at Newcastle University.

A short video tutorial to demonstrate how to test the normality of data using SPSS. This resource has been made available under a Creative Commons licence by Kristian Evans, Swansea University.

These DEWIS Learning Modules are concerned with the application of SPSS to the appropriate one sample location test of a data set; t-test, Wilcoxon signed-rank test or Binomial (Sign) test. You may choose examples from a variety of scenarios across a range of disciplines. The accompanying notes (http://dewisprod.uwe.ac.uk/projects/sigma/PDF/DEWIS_intro.pdf) describe the process of initially exploring your data and then identifying the recommended test. You may choose to complete these modules in the natural order of an analysis, but you may also attempt modules independently in any order if desired. You are not restricted either to only performing the recommended appropriate test, however you will be told at the beginning of a test module whether it is the recommended test or not. You will be given a data set to download which has a reference number. You can log out of DEWIS and return at a later date to complete modules after telling DEWIS the reference number of the data set you wish to be tested on. Each data set is generated randomly and thus you can have multiple attempts at the same scenario with a variety of data sets that will cover the various experiences that you will encounter when analysing data; i.e. data that is appropriate for any one of the three tests and that may or may not have a significant effect. It is recommended that before you use the e-Assessments you download the accompanying notes (http://dewisprod.uwe.ac.uk/projects/sigma/PDF/DEWIS_intro.pdf) and watch this video (http://dewisprod.uwe.ac.uk/projects/sigma/DEWISdemo/DEWISdemo.htm) that demonstrates the use of the learning modules. In particular please note that the e-Assessment marks to the accuracy that SPSS outputs various summary statistics when the data is displayed in the Data View to the recorded accuracy. Click here (http://dewisprod.uwe.ac.uk/projects/sigma-stats.html) to access DEWIS. The feedback within DEWIS provides links to videos and pdf instruction pamphlets. These are also available as stand-alone resources from here (http://dewisprod.uwe.ac.uk/projects/sigma/info/index.html). These resources have been made available under a Creative Commons licence by Iain Weir, Rhys Gwynllyw & Karen Henderson, University of the West of England, Bristol and reviewed by Nadarajah Ramesh, University of Greenwich following a sigma Resource Development Grant.

This is a zip file containing the SPSS data sets called marks.sav and spiders.sav for use with Paired t-tests Using SPSS (Worksheet). Note: please save this file to your PC before extracting its contents.

In this video Dr Iain Weir (University of the West of England) explains when you should use SPEARMAN'S RANK correlation coefficient (rather than the usual Pearson Correlation Coefficient). He also shows how to calculate it using SPSS and also a calculator, and how to intrepret the value of the coefficient and test its significance. A written introduction using the same examples is available as a Quick Reference resource at this site. You could also use the Test Yourself Quiz after reviewing this video.

This guide contains information on a wide range of popular statistics learning resources, used within a statistics support context in Higher Education (HE) in many Universities across the UK. The information could be used to identify a suitable resource for a student, to assist with the CPD of statistics support tutors or indeed to determine which book/resources to download/purchase for a mathematics support centre.

Try this self-test quiz AFTER reviewing the Teach Yourself video tutorial on SIMPLE Linear Regression available at this site.This quiz was contributed by Dr Iain Weir of the University of the West of England.

Try this self-test quiz AFTER reviewing the Teach Yourself video tutorial on MULTIPLE Linear Regression available at this site.This quiz was contributed by Dr Iain Weir of the University of the West of England.

This teach yourself worksheet provides an introduction to the assessment of reliability and repeatability in measurements scales, such as those used in questionnaires. Note that the SPSS and Excel data sets rankin.sav and rankin.xlsx referred to in the worksheet are also available here.

In this video Dr Iain Weir (University of the West of England) introduces Simple Linear Regression. A written introduction using the same examples is available as a Quick Reference resource at this site. You could also use the Test Yourself Quiz after reviewing this video.

How to run Cronbach's alpha reliability test in SPSS. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Paul Wilson, University of Wolverhampton. It was developed with sigma resource development funding.

Self-help resource providing an overview of statistics techniques for medical applications. Two types of sample size calculations will be discussed in this resource. This resource has been made available under a Creative Commons licence by Joanne Rothwell, University of Sheffield.