<p/><br></br><p><b> About the Book </b></p></br></br>"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"--<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>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.</p> <p><i>Statistics for Exercise Science and Health with Microsoft Office Excel</i> </p> <ul> <li>Aids readers in analyzing their own data using the presented statistical techniques combined with Excel</li> <li>Features comprehensive coverage of hypothesis testing and regression models to facilitate modeling in sports science</li> <li>Utilizes Excel to enhance reader competency in data analysis and experimental designs</li> <li>Includes coverage of both binomial and poison distributions with applications in exercise science and health</li> <li>Provides solved examples and plentiful practice exercises throughout in addition to case studies to illustrate the discussed analytical techniques</li> <li>Contains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems</li> </ul><p/><br></br><p><b> From the Back Cover </b></p></br></br><p><b>Delivers the statistical skill set for a solid foundation for research work and data analysis in exercise science and health</b></p> <p>Featuring an introduction to the basic concepts of statistics, <i>Statistics for Exercise Science and Health with Microsoft(R) Office Excel(R)</i> serves as an excellent guide to the use of Excel in exercise science and health-related research. The author begins with simplified concepts and subsequently builds into a more complex approach. This structure allows readers from disciplines outside of statistics to follow the chapters in a logical order, while facilitating an in-depth understanding of the intricacies of the various concepts discussed.</p> <p>The book's approach aides readers in the analysis of their own data by combining the presented statistical techniques with the use of Excel. Coverage includes a comprehensive treatment of hypothesis testing, regression models, and binomial and Poisson distributions as well as: </p> <p>- Chapter-by-chapter Excel tutorials to enhance reader competency in data analysis and experimental designs</p> <p>- Multiple examples, practice exercises, case studies, and illustrations to demonstrate the presented concepts and analytical techniques</p> <p>- Key definitions and formulas throughout for easy reference within the text</p> <p>- Select solutions at the end of the chapters to reinforce reader understanding</p> <p><i>Statistics for Exercise Science and Health with Microsoft(R) Office Excel(R)</i> 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.</p><p/><br></br><p><b> About the Author </b></p></br></br><p><b>J. P. Verma, PhD, </b> 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.</p>
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