Statistics for Sports and Exercise Science

Description

Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.

Contents

Introduction

Acknowledgements

1 Discovering statistics

2 Designing a study

3 Summarising and displaying data

4 Estimating parameters

5 Testing hypotheses

6 Modelling relationships: regression

7 Investigating between-subject factors: independent observations

8 Modelling categorical data

9 Investigating within-subject factors: dependent observations

10 Investigating studies with between-subject and within-subject factors: more on dependent observations

11 Handling linear mixed-effects models: more on dependent observations

12 Measurement error and method agreement studies

13 Speculating on the sample size required

Appendix: Table of illustrations and exercises

Index

Features

Features of the book include:

• Complete data sets for use with statistical packages including SPSS, Minitab and R
• Written specifically for students studying Sport and Exercise Science
• A practical approach by using real-life case studies throughout the book
• Key terms clearly highlighted throughout the text
• Questions at the end of every chapter

Author

John Newell is a lecturer in Statistics in the Department of Mathematics, National University of Ireland, Galway. Tom Aitchison was a senior lecturer in Statistics in the University of Glasgow. Stanley Grant is a senior lecturer in the Institute of Biomedical and Life Sciences, University of Glasgow. All three authors have experience of using statistics in the field of Sports Science.