Peter O’Donoghue is Reader and Discipline Director for Performance Analysis in the Cardiff School of Sport, UWIC, UK. Peter started his career as a computer scientist before moving into sport and exercise science in 1997. Since then he has been active in the performance analysis of sport and is Chair of the International Society of Performance Analysis of Sport.

• 1. Data, Information and Statistics 2. Using this book 3. Descriptive Statistics 4. Standardized scores 5. Probability 6. Data distributions 7. Hypothesis testing 8. Correlation 9. Linear Regression 10. t Tests 11. Analysis of Variances 12. Factorial ANOVA 13. Multivariate ANOVA 14. Nonparametric tests 15. Chi Square 16. Statistical Classification 17. Cluster Analysis 18. Data Reduction using Principal Components Analysis 19. Reliability 20. Statistical Power

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Peter O’Donoghue is Reader and Discipline Director for Performance Analysis in the Cardiff School of Sport, UWIC, UK. Peter started his career as a computer scientist before moving into sport and exercise science in 1997. Since then he has been active in the performance analysis of sport and is Chair of the International Society of Performance Analysis of Sport.

• 1. Data, Information and Statistics 2. Using this book 3. Descriptive Statistics 4. Standardized scores 5. Probability 6. Data distributions 7. Hypothesis testing 8. Correlation 9. Linear Regression 10. t Tests 11. Analysis of Variances 12. Factorial ANOVA 13. Multivariate ANOVA 14. Nonparametric tests 15. Chi Square 16. Statistical Classification 17. Cluster Analysis 18. Data Reduction using Principal Components Analysis 19. Reliability 20. Statistical Power

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Peter O’Donoghue is Reader and Discipline Director for Performance Analysis in the Cardiff School of Sport, UWIC, UK. Peter started his career as a computer scientist before moving into sport and exercise science in 1997. Since then he has been active in the performance analysis of sport and is Chair of the International Society of Performance Analysis of Sport.

• 1. Data, Information and Statistics 2. Using this book 3. Descriptive Statistics 4. Standardized scores 5. Probability 6. Data distributions 7. Hypothesis testing 8. Correlation 9. Linear Regression 10. t Tests 11. Analysis of Variances 12. Factorial ANOVA 13. Multivariate ANOVA 14. Nonparametric tests 15. Chi Square 16. Statistical Classification 17. Cluster Analysis 18. Data Reduction using Principal Components Analysis 19. Reliability 20. Statistical Power

Select Guide Rating