Statistics for Sports and Exercise Science: A Practical Approach
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.

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Statistics for Sports and Exercise Science: A Practical Approach
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.

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Statistics for Sports and Exercise Science: A Practical Approach

Statistics for Sports and Exercise Science: A Practical Approach

Statistics for Sports and Exercise Science: A Practical Approach

Statistics for Sports and Exercise Science: A Practical Approach

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Overview

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.


Product Details

ISBN-13: 9780132042543
Publisher: Taylor & Francis
Publication date: 10/07/2009
Edition description: New Edition
Pages: 440
Product dimensions: 7.40(w) x 9.60(h) x 1.00(d)

About the Author

John Newell, Tom Aitchison, Stanley, Grant

Table of 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

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