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08. Staff Resources (9)

Resource type Data for SPSS Workbook for New Statistics Tutors (Excel file)
Data sets for the self-study training resource for new statistics tutors entitled "SPSS Workbook for New Statistics Tutors". These were developed by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type Introductory Statistics and Hypothesis Testing (PowerPoint Workshop)
These slides are aimed to be used in a workshop to train mathematics (or new statistics) tutors who need to provide statistics support. They cover key topics including hypothesis testing and choosing the right test. These slides were developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall (University of Sheffield) and reviewed by Ruth Fairclough (University of Wolverhampton).
Resource type Solutions for SPSS Workbook for New Statistics Tutors
Solutions to the self-study training resource for new statistics tutors entitled "SPSS Workbook for New Statistics Tutors". These were developed and contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type SPSS Workbook for New Statistics Tutors
This is a paper-based scenario aimed to be used as part of the tutor training workshop using the resource entitled "Introductory Statistics and Hypothesis Testing". This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type The Statistics Tutor's Quick Guide to Commonly Used Statistical Tests
A 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).
Resource type Video Based Statistics Tutor Training: Mass Customisation Scenario
This scenario-based training video is aimed at statistics tutors and intersperses a recorded statistics support session with discussion points, questions and issues to consider. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type Video Based Statistics Tutor Training: Mass Customisation Scenario (TRANSCRIPT)
This is a written transcript file for the scenario-based training video entitled "Video Based Statistics Tutor Training: Mass Customisation Scenario". This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type Video Based Statistics Tutor Training: Porosity Scenario
This scenario-based training video is aimed at statistics tutors and intersperses a recorded statistics support session with discussion points, questions and issues to consider. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type Video Based Statistics Tutor Training: Porosity Scenario (TRANSCRIPT)
This is a written transcript file for the scenario-based training video entitled â??Video Based Statistics Tutor Training: Porosity Scenarioâ??. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).