This PowerPoint workshop provides an introduction to SPSS. 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 an associated data file, the source file and the associated statstutor metadata spreadsheet.

This PowerPoint workshop provides an introduction to parametric testing using SPSS. 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 an associated data file, the source file and the associated statstutor metadata spreadsheet.

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.

An electronic Welsh language version of the Facts & Formulae leaflet for probablity and statistics designed to be viewed onscreen. A higher resolution print version is available in mathcentre. The leaflets were translated by Dr Tudur Davies, a Coleg Cymraeg Cenedlaethol Lecturer of Mathematics, at the Institute of Mathematics, Physics & Computer Science, Aberystwyth University. Funding from the Coleg Cymraeg Cenedlaethol is gratefully acknowledged.

This teach yourself worksheet will show you how to perform a Chi-Squared test for association when you have a contingency table formed from two categorical variables. The focus is on hand calculation but also includes some nots on how to do this using SPSS.

This is a zip file containing the SPSS data set called colours.sav for use with Chi-Squared tests of Association Using SPSS (Worksheet). Note: please save this file to your PC before extracting its contents.

This teach yourself unit explains how to tabulate and present categorical data in the form of frequency tables and contingency tables and motivates the need to consider row and column percentages which are considered in part 2. This resource was developed by John Flynn (previously of Lincoln University). statstutor also acknowledges permission by Dr Doug Stirling (Massey University) to use material from the CAST collection of e-books in Statistics.

Independent Samples t-tests are used to test a hypothesis of differences between two population means when your data comes from two different or independent groups of subjects. This teach yourself worksheet provides an introduction to independent samples t-tests including how to do these using SPSS.

A Quick Reference worksheet on an introduction to the independent samples t-test. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and 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 the source file and the associated statstutor metadata spreadsheet.

Self-help resource providing an overview of statistics techniques for medical applications. This resource is focused on diagnostic tests. This resource has been made available under a Creative Commons licence by Joanne Rothwell, University of Sheffield.

This self-help resource provides an overview of paired t-tests in R, used to compare means of data from two related samples, such as observations before and after an intervention on the same participant, comparisons of measurements from the same participant for two different conditions. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.

This yourself worksheet provides an introduction to undertaking paired t-tests using SPSS. Note that the SPSS data sets referred to in the worksheet are also available here.

Three questions on parametric hypothesis testing and confidence intervals, aimed at psychology students. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.