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04. Tests and Quizzes (4)

Resource type A suite of statistics e-Assessments - Stand-alone resources
DEWIS statistics e-Assessments 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.
Resource type A suite of statistics e-Assessments with supporting materials
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.
Resource type A suite of statistics e-Assessments with supporting materials - Notes
DEWIS statistics e-Assessments 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. These notes 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.
Resource type A suite of statistics e-Assessments with supporting materials - Video transcripts
Transcripts for the videos included in the suite of statistics e-Assessment resources. 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. 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.