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

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.

Delivers the statistical skill set for a solid foundation for research work and data analysis in exercise science and health

Featuring an introduction to the basic concepts of statistics, Statistics for Exercise Science and Health with Microsoft® Office Excel® 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.

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:

• Chapter-by-chapter Excel tutorials to enhance reader competency in data analysis and experimental designs

• Multiple examples, practice exercises, case studies, and illustrations to demonstrate the presented concepts and analytical techniques

• Key definitions and formulas throughout for easy reference within the text

• Select solutions at the end of the chapters to reinforce reader understanding

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.

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

Preface xxi

1 Scope of Statistics in Exercise Science and Health 1

1.1 Introduction, 1

1.2 Understanding Statistics, 2

1.3 What Statistics Does?, 3

1.4 Statistical Processes, 4

1.5 Need for Statistics, 5

1.6 Statistics in Exercise Science and Health, 8

1.7 Computing with Excel, 9

2 Understanding the Nature of Data 19

2.1 Introduction, 19

2.2 Important Terminologies, 20

2.3 Measurement of Data, 22

2.4 Parametric and Nonparametric Statistics, 24

2.5 Frequency Distribution, 25

2.6 Summation Notation, 28

2.7 Measures of Central Tendency, 34

2.8 Comparison of the Mean, Median, and Mode, 46

2.9 Measures of Variability, 53

2.10 Standard Error, 72

2.11 Coefficient of Variation, 72

2.12 Absolute and Relative Variability, 74

2.13 Box-And-Whisker Plot, 79

2.14 Skewness, 81

2.15 Percentiles, 82

2.16 Computing with Excel, 86

3 Working with Graphs 101

3.1 Introduction, 101

3.2 Guidelines for Constructing a Graph, 102

3.3 Bar Diagram, 104

3.4 Histogram, 105

3.5 Frequency Polygon, 107

3.6 Frequency Curve, 107

3.7 Cumulative Frequency Curve, 108

3.8 Ogive, 110

3.9 Pie Diagram, 111

3.10 Stem and Leaf Plot, 113

3.11 Computing with Excel, 117

4 Probability and its Application 130

4.1 Introduction, 130

4.2 Application of Probability, 131

4.3 Set Theory, 132

4.4 Terminologies Used in Probability, 136

4.5 Basic Definitions of Probability, 142

4.6 Some Results on Probability, 145

4.7 Computing Probability, 145

4.8 Types of Probability, 151

4.9 Theorems of Probability, 152

4.10 Computing with Excel, 162

5 Statistical Distributions and their Application 176

5.1 Introduction, 176

5.2 Terminologies used in Statistical Distribution, 177

5.3 Discrete Distribution, 182

5.4 Binomial Distribution, 183

5.5 Poisson Distribution, 189

5.6 Continuous Distribution, 194

5.7 Normal Distribution, 195

5.8 Standard Score, 198

5.9 Normal Approximation to the Binomial Distribution, 199

5.10 Testing Normality of the Data, 200

5.11 The Central Limit Theorem, 204

5.12 Solving Problems Based on Normal Distribution, 204

5.13 Uses of Normal Distribution, 216

5.14 Computing with Excel, 217

6 Sampling and Sampling Distribution 234

6.1 Introduction, 234

6.2 Population and Sample, 235

6.3 Parameter and Statistics, 235

6.4 Sampling Frame, 236

6.5 Sampling, 236

6.6 Census, 238

6.7 Probability and Nonprobability Sampling, 238

6.8 Probability Sampling, 239

6.9 Nonprobability Sampling, 246

6.10 When to Use Probability Sampling, 249

6.11 When to Use Nonprobability Sampling, 250

6.12 Characteristics of a Good Sample, 250

6.13 Sources of Data, 251

6.14 Methods of Data Collection, 252

6.15 Biases in Data Collection, 254

6.16 Sampling Error, 255

6.17 Nonsampling Errors, 255

6.18 Sampling Distribution, 255

6.19 Criteria in Deciding Sa…