Statistics for Sport and Exercise Studies
eBook - ePub

Statistics for Sport and Exercise Studies

An Introduction

  1. 416 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistics for Sport and Exercise Studies

An Introduction

Book details
Table of contents
Citations

About This Book

Statistics for Sport and Exercise Studies 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 real 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 and clear summaries. 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 more than 100 downloadable data sets and work sheets for use in or out of the classroom, full solutions to exercises contained in the book, plus over 1, 300 PowerPoint slides for use by tutors and lecturers.

Statistics for Sport and Exercise Studies is a complete, user-friendly introduction to the use of statistical tests, techniques and procedures in sport, exercise and related subjects.

Visit the companion website at: www.routledge.com/cw/odonoghue

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Information

Publisher
Routledge
Year
2013
ISBN
9781136479274
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Halftitle
  3. Title
  4. Copyright
  5. Contents
  6. List of Figures
  7. List of Tables
  8. Preface
  9. Acknowledgements
  10. 1. Data, Information and Statistics
  11. 2. Using This Book
  12. 3. Descriptive Statistics
  13. 4. Standardized Scores
  14. 5. Probability
  15. 6. Data Distributions
  16. 7. Hypothesis Testing
  17. 8. Correlation
  18. 9. Linear Regression
  19. 10. T-Tests
  20. 11. Analysis Of Variances
  21. 12. Factorial ANOVA
  22. 13. Multivariate ANOVA
  23. 14. Non-Parametric Tests
  24. 15. Chi Square
  25. 16. Statistical Classification
  26. 17. Cluster Analysis
  27. 18. Data Reduction Using Principal Components Analysis
  28. 19. Reliability
  29. 20. Statistical Power
  30. References
  31. Index