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# Two-Sample t-tests resources

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### 02. Video Tutorials (2)

Interpret SPSS output for an independent t-test
How to interpret SPSS output for an independent t-test (also known as a two-sample t-test). Includes Levene's test for homogeneity of variance, p-value and confidence intervals for the mean difference. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Jonathan Gillard, Cardiff University. It was developed with sigma resource development funding.
Run an independent t-test in SPSS
How to use SPSS to run an independent two sample t-test. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Jonathan Gillard, Cardiff University. It was developed with sigma resource development funding.

### 03. Teach Yourself Worksheets (4)

Independent (Unpaired) Samples t-test (Worksheet)
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.
Introduction to Hypothesis Testing (Worksheet)
This teach yourself worksheet provides an overview of the framework used in hypothesis (significance) testing.
Introduction to Sample Size Calculations (Worksheet)
This teach yourself worksheet iprovides an introduction to determining the sample size, and explains how this is related to power and/or precision in a study.
Repeated Measures (Introductory Leaflet)
Repeated measures refers to having more than one measurement on each subject. This leaflet provides a brief overview of the various techniques you should consdeir using if you have repeated measures data. This also lists some useful resources at the end.

### 07. Community Project (2)

8 Parametric Testing (Workshop SOURCE)
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.
Independent samples t-test SOURCE
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.

### 08. Staff Resources (1)

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).

### 10. Workshops (1)

8 Parametric testing (Workshop)
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 and reviewed by Ellen Marshall, University of Sheffield. The zip file contains an associated data file.

### 11. Quick reference worksheet (1)

Independent samples t-test
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 and reviewed by Ellen Marshall, University of Sheffield.