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Statistics for Exercise Science and Health with Microsoft Office Excel
J. P. Verma
€ 153.73
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Description for Statistics for Exercise Science and Health with Microsoft Office Excel
Hardback. This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis. Num Pages: 752 pages, illustrations. BIC Classification: MBNH; MBNS. Category: (P) Professional & Vocational. Dimension: 164 x 234 x 41. Weight in Grams: 1174.
This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.
Statistics for Exercise Science and Health with Microsoft Office Excel:
- Aids readers in analyzing their own data using the presented statistical techniques combined with Excel
- Features comprehensive coverage of hypothesis testing and regression models to facilitate modeling in sports science
- Utilizes Excel to enhance reader competency in data analysis and experimental designs
- Includes coverage of both binomial and poison distributions with applications in exercise science and health
- Provides solved examples and plentiful practice exercises ... Read more
- Contains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems
Product Details
Format
Hardback
Publication date
2014
Publisher
John Wiley & Sons Inc United States
Number of pages
752
Condition
New
Number of Pages
752
Place of Publication
New York, United States
ISBN
9781118855218
SKU
V9781118855218
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About J. P. Verma
J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education in Gwalior, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical ... Read more
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