Statistics for Exercise Science and Health with Microsoft Office Excel J P Verma

Statistics for Exercise Science and Health with Microsoft Office Excel by J P Verma
June 23rd 2014 | ebook | PDF, EPUB, FB2, DjVu, audiobook, mp3, ZIP | 752 pages | ISBN: 9781118855393 | 9.42 Mb

This book presents readers with basic concepts of statistics in order to solve a variety of problems in exercise science and health. This book not only serves as a textbook for students, but its also provides a solid foundation for their futureMoreThis book presents readers with basic concepts of statistics in order to solve a variety of problems in exercise science and health. This book not only serves as a textbook for students, but its also provides a solid foundation for their future research work. One of the key features is that it follows a simple to complex approach, meaning even students with no prior knowledge of statistics can follow the text if they refer to the chapters in a sequential order.

Sections such as Check your Progress and Practice Exercises are included after discussions of major topics, in addition to an exhaustive collection of exercises at the end of each chapter. In order to comprehend the discussed topics and concepts, readers are then presented with problems and case studies related to the chapter coverage. This approach facilitates an understanding of the intricacies of the various concepts discussed within the chapters.

Solutions for all of the questions in the sections Check you Progress, Practice Exercises, and Chapter Exercises are provided at the end of the chapters for readers to check the acurracy of their solutions. For easy reference, all of the important definitions and the formulas are provided within each chapter. Each chapter is self-contained and is supplemeted with Excel statistical computing for data analysis in exercise science and health. Chapter coverage includes: the scope of statistics in exercise science and health- understanding the nature of data- working with graphs- probability and its applications- statistical distributions and their applications- sampling and sampling distributions- statistical inference for decision-making- analysis of variance and designing research experiments- understanding relationships and developing regression models- statistical tests for nonparametric data- measuring associations in nonparametric data- and developing norms for assessing performance.

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