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Statistics For Exercise Science And Health With Microsoft Office Excel

Author : J. P. Verma
ISBN : 9781118855171
Genre : Mathematics
File Size : 62.21 MB
Format : PDF
Download : 667
Read : 999

This book introduces the use of statistics to solve a variety ofproblems in exercise science and health and provides readers with asolid foundation for future research and data analysis. Statistics for Exercise Science and Health with MicrosoftOffice Excel: Aids readers in analyzing their own data using the presentedstatistical techniques combined with Excel Features comprehensive coverage of hypothesis testing andregression models to facilitate modeling in sportsscience Utilizes Excel to enhance reader competency in data analysisand experimental designs Includes coverage of both binomial and poison distributionswith applications in exercise science and health Provides solved examples and plentiful practice exercisesthroughout in addition to case studies to illustrate the discussedanalytical techniques Contains all needed definitions and formulas to aid readers inunderstanding different statistical concepts and developing theneeded skills to solve research problems
Category: Mathematics

Sports Research With Analytical Solution Using Spss

Author : J. P. Verma
ISBN : 9781119206729
Genre : Medical
File Size : 62.49 MB
Format : PDF
Download : 949
Read : 375

A step-by-step approach to problem-solving techniques using SPSS® in the fields of sports science and physical education Featuring a clear and accessible approach to the methods, processes, and statistical techniques used in sports science and physical education, Sports Research with Analytical Solution using SPSS® emphasizes how to conduct and interpret a range of statistical analysis using SPSS. The book also addresses issues faced by research scholars in these fields by providing analytical solutions to various research problems without reliance on mathematical rigor. Logically arranged to cover both fundamental and advanced concepts, the book presents standard univariate and complex multivariate statistical techniques used in sports research such as multiple regression analysis, discriminant analysis, cluster analysis, and factor analysis. The author focuses on the treatment of various parametric and nonparametric statistical tests, which are shown through the techniques and interpretations of the SPSS outputs that are generated for each analysis. Sports Research with Analytical Solution using SPSS® also features: Numerous examples and case studies to provide readers with practical applications of the analytical concepts and techniques Plentiful screen shots throughout to help demonstrate the implementation of SPSS outputs Illustrative studies with simulated realistic data to clarify the analytical techniques covered End-of-chapter short answer questions, multiple choice questions, assignments, and practice exercises to help build a better understanding of the presented concepts A companion website with associated SPSS data files and PowerPoint® presentations for each chapter Sports Research with Analytical Solution using SPSS® is an excellent textbook for upper-undergraduate, graduate, and PhD-level courses in research methods, kinesiology, sports science, medicine, nutrition, health education, and physical education. The book is also an ideal reference for researchers and professionals in the fields of sports research, sports science, physical education, and social sciences, as well as anyone interested in learning SPSS.
Category: Medical

Essentials Of Modern Business Statistics With Microsoft Office Excel

Author : David R. Anderson
ISBN : 9781337298292
Genre : Business & Economics
File Size : 88.42 MB
Format : PDF, Kindle
Download : 980
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Discover an accessible introduction to business statistics as ESSENTIALS OF MODERN BUSINESS STATISTICS, 7E balances a conceptual understanding of statistics with real-world applications of statistical methodology. The book integrates Microsoft Excel 2016, providing step-by-step instructions and screen captures to help readers master the latest Excel tools. Extremely reader-friendly, this edition includes numerous tools to maximize the user's success, including Self-Test Exercises, margin annotations, insightful Notes and Comments, and real-world Methods and Applications exercises. Eleven new Case Problems, as well as new Statistics in Practice applications and real data examples and exercises, give readers opportunities to put concepts into practice. Readers find everything needed to acquire key Excel 2016 skills and gain a strong understanding of business statistics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Category: Business & Economics

Repeated Measures Design For Empirical Researchers

Author : J. P. Verma
ISBN : 9781119052500
Genre : Science
File Size : 81.3 MB
Format : PDF, ePub
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Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, 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. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.
Category: Science

Testing Statistical Assumptions In Research

Author : J. P. Verma
ISBN : 9781119528418
Genre : Mathematics
File Size : 64.44 MB
Format : PDF, Docs
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Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
Category: Mathematics

Statistics For Health Policy And Administration Using Microsoft Excel

Author : James E. Veney
ISBN : UOM:49015002977107
Genre : Medical
File Size : 87.51 MB
Format : PDF, ePub, Mobi
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Statistics for Health Policy and Administration Using Microsoft Excel provides an introduction to the use of statistics in health policy and health administration-related fields. The book is keyed to the powerful statistical tool Microsoft Excel and shows how to prepare data and understand the data display capabilities of the program. It also offers the information needed to master probability— the foundation of statistical analysis. This important book is structured around illustrative examples that are demonstrated with Excel displays. The book is filled with step-by-step discussions of how statistical problems are solved using Excel, and it contains a wealth of exercises addressing the material covered in each section. Many of the book's exercises include the replication of examples so that the student has an immediate reference with which to compare his or her work and determine whether or not the procedure was carried out correctly. Additional exercises are provided for further practice to reinforce the valuable lessons learned
Category: Medical

Statistics For Health Care Professionals

Author : James E. Veney
ISBN : 0470497920
Genre : Medical
File Size : 21.21 MB
Format : PDF, Docs
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Statistics for Health Care Professionals: Working with Excel (second edition) is written in a clear, easily followed style keyed to the powerful statistical tool, Microsoft Excel 2007. It introduces the use of statistics applicable to health administration, health policy, public health, health information management, and other professions, emphasizing the logic of probability and statistical analysis in all areas. Coverage includes data acquisition, data display, basics of probability, data distributions, confidence limits and hypothesis testing, statistical tests for categorical data, tests for related and unrelated data, analysis of variance, simple linear regression, multiple regression, and analysis with a dichotomous categorical dependent variable. A glossary and section-by-section review questions round out this uniquely comprehensive and accessible text.
Category: Medical

Measurement And Evaluation In Human Performance

Author : James R. Morrow
ISBN : 9780736090391
Genre : Health & Fitness
File Size : 32.71 MB
Format : PDF, ePub, Mobi
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Measurement and Evaluation in Human Performance,Fourth Edition, introduces students to tests and measurements as well as statistical decision making and interpretation with regard to human performance problems in the areas of kinesiology, physical education, health, and fitness.
Category: Health & Fitness