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Annotation This Text 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. 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. Non-parametric Tests -- 15. Chi Square -- 16. Statistical Classification -- 17. Cluster Analysis -- 18. Data Reduction Using Principal Components Analysis -- 19. Reliability -- 20. Statistical Power. Bibliographic Level Mode Of Issuance: Monograph Includes Bibliographical References And Index. English
This text investigates how students of sport and exercise science can effectively apply statistical procedures to research data. Peter O'Donoghue, an expert in performance analysis, provides a structured framework that bridges the gap between raw data and meaningful scientific conclusions. The book utilizes specific examples from the field of athletics to demonstrate the practical application of statistical theory in real-world research scenarios.
What You Will Find
Experts identify this as a highly practical resource for undergraduate and postgraduate students navigating the research process in sports science. Readers frequently note the clarity of the examples provided, which effectively demystify complex statistical concepts for those without a strong mathematical background.
Page Count:
0
Publication Date:
2012-01-01
Publisher:
Routledge
ISBN-10:
0203133501
ISBN-13:
9780203133507
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