Statistics for Sport and Exercise Studies An Introduction

ISBN-10: 0415595576
ISBN-13: 9780415595575
Edition: 2012
Authors: Peter O'Donoghue
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Description: Statistics for Sport and Exercise Studiesis a complete, user-friendly and easy-to-read introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects. It guides the student through the full research  More...

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Book details

List price: $38.99
Copyright year: 2012
Publisher: Taylor & Francis Group
Publication date: 3/28/2012
Binding: Paperback
Pages: 416
Size: 6.75" wide x 9.25" long x 0.75" tall
Weight: 1.078
Language: English

Statistics for Sport and Exercise Studiesis a complete, user-friendly and easy-to-read introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects. It guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from sport and exercise settings.Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure to their own research project, including definitions of key terms, practical exercises, worked examples, clear summaries and guides to further reading and resources. The book also offers an in-depth and practical guide to using SPSS in sport and exercise research, the most commonly used data analysis software in sport and exercise departments. In addition, a companion website includes downloadable data sets and work sheets for use in or out of the classroom.

List of figures
List of tables
Preface
Illustration credits
Acknowledgements
Data, information and statistics
Using this book
Descriptive statistics
Standardized scores
Probability
Data distributions
Hypothesis testing
Correlation
Linear regression
t-Tests
Analysis of variances
Factorial ANOVA
Multivariate ANOVA
Non-parametric tests
Chi square
Statistical classification
Cluster analysis
Data reduction using principal components analysis
Reliability
Statistical power
References
Index

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