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Statistics for Exercise Science and Health with Microsoft(R) Office Excel(R)

Autor JP Verma
en Limba Engleză Hardback – 7 aug 2014
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 throughout in addition to case studies to illustrate the discussed analytical techniques * Contains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems
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Specificații

ISBN-13: 9781118855218
ISBN-10: 1118855213
Pagini: 752
Dimensiuni: 157 x 242 x 44 mm
Greutate: 1.16 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

Statistics for Exercise Science and Health with Microsoft® Office Excel® is an ideal textbook for graduate and PhD–level courses in exercise, sport, and health sciences including sports psychology, sports kinesiology, sports management, sports biomechanics, health education, and nutrition. The book is also recommended as a reference for professionals and scientists in physical education, sports, and allied disciplines.

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Notă biografică

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 education, social science, and economics.