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.

94.99 In Stock
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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$94.99 

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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: 9781317904182
Publisher: Taylor & Francis
Publication date: 12/05/2014
Sold by: Barnes & Noble
Format: eBook
Pages: 440
File size: 34 MB
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About the Author

John Newell, Tom Aitchison, Stanley, Grant

Table of Contents

Chapter 1 Discovering statistics; Chapter 2 Designing a study; Chapter 3 Summarising and displaying data; Chapter 4 Estimating parameters; Chapter 5 Testing hypotheses; Chapter 6 Modelling relationships: regression; Chapter 7 Investigating between-subject factors: independent observations; Chapter 8 Modelling categorical data; Chapter 9 Investigating within-subject factors: dependent observations; Chapter 10 Investigating studies with between-subject and within-subject factors: more on dependent observations; Chapter 11 Handing linear mixed-effects models: more on dependent observations; Chapter 12 Measurement error and method agreement studies; Chapter 13 Speculating on the sample size required;
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