Statistics - John S. Witte

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Auteur(s) : John S. Witte - Robert S. Witte

Editeur : John Wiley & Sons Inc

Langue : Anglais

Parution : 01/03/2021

Format : Moyen, de 350g à 1kg

Nombre de pages : 496.0

ISBN : 1119254515

Résumé :
x 163

7.5 Assumptions 166

7.6 Interpretation of R2 167

7.7 Multiple Regression Equations 172

7.8 Regression Toward The Mean 172

Summary 175

Important Terms 175

Key Equations 175

Review Exercises 176

PART 2 Inferential Statistics: Generalizing Beyond Data 179

8 Populations, Samples, and Probability 181

Populations and Samples 182

8.1 Populations 182

8.2 Samples 183

8.3 Random Sampling 184

8.4 Tables of Random Numbers 185

8.5 Random Assignment of Subjects 186

8.6 Surveys or Experiments? 188

Probability 188

8.7 Definition 189

8.8 Addition Rule 189

8.9 Multiplication Rule 191

8.10 Probability and Statistics 195

Summary 197<...

Biographie:

Robert Witte earned his Ph.D. at Stanford University. He is an Emeritus Professor of Psychology at San Jose State University, where he taught courses in statistics for more than three decades. He has had a number of publications in peer-reviewed journals, as well as a number of nationally-competitive research grants and a post-doctoral Research Fellowship at Indiana University.??

John Witte is Professor of Epidemiology and Biostatistics at the University of California, San Francisco. ?He received his PhD from the University of California, Los Angeles, and was previously on the faculty at the University of Southern California and Case Western Reserve University.?He has published over 150 papers, and his research is primarily focused on statistical genetics and the genetic epidemiology of cancer.?

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Sommaire:

Preface iv

Acknowledgments vi

1 Introduction 3

1.1 Why Study Statistics? 4

1.2 What Is Statistics? 4

1.3 More about Inferential Statistics 6

1.4 Three Types of Data 9

1.5 Levels of Measurement 10

1.6 Types of Variables 14

1.7 How to Use This Book 19

Summary 20

Important Terms 21

Review Questions 21

PART 1 Descriptive Statistics: Organizing and Summarizing Data 25

2 Describing Data with Tables and Graphs 27

Tables (Frequency Distributions) 28

2.1 Frequency Distributions for Quantitative Data 28

2.2 Guidelines 29

2.3 Outliers 34

2.4 Relative Frequency Distributions 35

2.5 Cumulative Frequency Distributions 36

2.6 Frequency Distributions for Qualitative (Nominal) Data 38

2.7 Interpreting Distributions Constructed By Others 39

Graphs 40

2.8 Graphs for Quantitative Data 40

2.9 Typical Shapes 45

2.10 A Graph for Qualitative (Nominal) Data 47

2.11 Misleading Graphs 48

2.12 Doing It Yourself 50

Summary 50

Important Terms 52

Review Questions 53

3 Describing Data with Averages 59

3.1 Mode 60

3.2 Median 61

3.3 Mean 63

3.4 Which Average? 65

3.5 Averages for Qualitative and Ranked Data 68

Summary 70

Important Terms 70

Key Equation 71

Review Questions 71

4 Describing Variability 75

4.1 Intuitive Approach 76

4.2 Range 78

4.3 Variance 78

4.4 Standard Deviation 79

4.5 Details: Standard Deviation 84

4.6 Degrees Of Freedom (df ) 92

4.7 Interquartile Range (IQR) 94

4.8 Measures of Variability for Qualitative and Ranked Data 95

Summary 95

Important Terms 96

Key Equations 97

Review Questions 97

5 Normal Distributions and Standard (z) Scores 101

5.1 The Normal Curve 103

5.2 z Scores 105

5.3 Standard Normal Curve 106

5.4 Solving Normal Curve Problems 109

5.5 Finding Proportions 110

5.6 Finding Scores 116

5.7 More About z Scores 121

Summary 124

Important Terms 125

Key Equations 125

Review Questions 125

6 Describing Relationships: Correlation 131

6.1 An Intuitive Approach 132

6.2 Scatterplots 134

6.3 A Correlation Coefficient for Quantitative Data: R 137

6.4 Details: Computation Formula for r 142

6.5 Outliers Again 144

6.6 Other Types of Correlation Coefficients 145

6.7 Computer Output 146

Summary 149

Important Terms and Symbols 150

Key Equations 150

Review Questions 151

7 Regression 155

7.1 Two Rough Predictions 156

7.2 A Regression Line 157

7.3 Least Squares Regression Line 159

7.4 Standard Error of Estimate, sy