Introductory Statistics, International Adaptation - Prem S. Mann

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Auteur(s) : Prem S. Mann

Editeur : John Wiley & Sons Inc

Langue : Anglais

Parution : 01/02/2024

Format : Moyen, de 350g à 1kg

Nombre de pages : 752

Dimensions : 21.9 x 28.2 x 3.8

ISBN : 1394226381

Résumé :

Introductory Statistics, 10th edition, is written for a one- or two-semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach, the book encourages statistical interpretation and literacy regardless of student background. The book employs a clear and straightforward writing style and uses abundant visuals and figures, which reinforce key concepts and relate new ideas to prior sections for a smooth transition between topics.

This international edition offers new and updated materials and focuses on strengthening the coverage by including new sections on types of scales, negative binomial distribution, and two-way analysis of variance. Additionally, discussions on ogive curves, geometric mean, and harmonic mean have also been added. Many examples and exercises throughout the book are new or revised, providing varied ways for students to practice statistical concepts.

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Biographie:

PREM S. MANN has a Bachelor's degree in mathematics, economics, and English, and a Master's degree in economics, with a specialization in statistics, from Punjab University, India. Prem taught economics and statistics at a Punjab University college for four years. In 1975 he left India for the United Kingdom, where he studied at the University of Manchester and received his second Master's degree in economics. Then he attended the London School of Economics where he studied operations research. In January 1980, Prem moved to Los Angeles, California, to study for his Ph.D. in Economics at UCLA. One of his fields of specialization in his Ph.D. studies was statistics and quantitative methods. While working on his Ph.D. at UCLA, Prem Mann taught statistics and quantitative methods at the Los Angeles and Fullerton campuses of California State University, first as an adjunct instructor and then as a full-time faculty member. In 1986, he joined Eastern Connecticut State University as a faculty member, where he taught statistics, mathematics for economics, and econometrics for 29 years. He also served as chair of the Department of Economics at Eastern Connecticut State University for 20 years before retiring in 2015. Currently, Prem Mann lives with his wife and close to his children and grandchildren in New York City. In addition to Introductory Statistics, which is currently in its 10th edition, Prem Mann has authored Introductory Statistics Using Technology and Statistics for Business and Economics. He has also coauthored Practitioner's Guide to Statistics and Lean Six Sigma for Process?Improvements with Mikel J. Harry, Ofelia C. De Hodgins, Richard L. Hulbert, and Christopher J. Lacke. All these books are Wiley publications. Prem Mann's Introductory Statistics book has been translated into Chinese, Serbian, and Portuguese. His Statistics for Business and Economics?was also translated into Chinese.

Sommaire:

1 Introduction 1

1.1 Statistics and Types of Statistics 1

Case Study 1.1 Deaths Due to Red-Light Running in the United States 3

Case Study 1.2 Is Anxiety and Depression a Major Problem Among Teens? 4

1.2 Basic Terms 5

1.3 Types of Variables 7

1.4 Types of Scales 10

1.5 Cross-Section Versus Time-Series Data 12

1.6 Population Versus Sample 13

1.7 Design of Experiments 22

1.8 Summation Notation 26

Uses and Misuses of Statistics / Glossary / Exercises / Self-Review Test / Mini-Project / Decide for ?ourself / Chapter 1 Technology Instructions

2 Organizing and Graphing Data 41

2.1 Organizing and Graphing Qualitative Data 42

Case Study 2.1 Confidence in Charitable and Nongovernmental Organizations 46

Case Study 2.2 Single-Payer Health-Care System Where the Federal Government Provides Coverage for Everyone 47

2.2 Organizing and Graphing Quantitative Data 48

Case Study 2.3 Average Starting Salaries of Teachers in the United States 53

Case Study 2.4 Mom, I Am Hungry 54

Case Study 2.5 How Many Cups of Coffee Do You Drink a Day? 58

2.3 Stem-and-Leaf Displays 66

2.4 Dotplots 71

Uses and Misuses of Statistics / Glossary / Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Chapter 2 Technology Instructions

3 Numerical Descriptive Measures 87

3.1 Measures of Center for Ungrouped Data 88

Case Study 3.1 Coffee Consumption Statistics 91

Case Study 3.2 Median Prices of Homes in Selected Metro Areas of the United States 94

3.2 Measures of Dispersion for Ungrouped Data 103

3.3 Mean, Variance, and Standard Deviation for Grouped Data 111

3.4 Use of Standard Deviation 117

Case Study 3.3 Does Spread Mean the Same as Variability and Dispersion? 121

3.5 Measures of Position 122

3.6 Box-and-Whisker Plot 127

Uses and Misuses of Statistics / Glossary / Exercises / Appendix 3.1 / Self-Review Test / Mini-Projects /

Decide for Yourself / Chapter 3 Technology Instructions

4 Probability 147

4.1 Experiment, Outcome, and Sample Space 148

4.2 Calculating Probability 153

4.3 Marginal Probability, Conditional Probability, and Related Probability Concepts 160

Case Study 4.1 Vegetarians, Gender, and Ideology 163

4.4 Intersection of Events and the Multiplication Rule 171

4.5 Union of Events and the Addition Rule 177

4.6 Counting Rule, Factorials, Combinations, and Permutations 184

Case Study 4.2 Probability of Winning a Mega Millions Lottery Jackpot 189

Uses and Misuses of Statistics / Glossary / Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Chapter 4 Technology Instructions

5 Discrete Random Variables and Their Probability Distributions 203

5.1 Random Variables 204

5.2 Probability Distribution of a Discrete Random Variable 206

5.3 Mean and Standard Deviation of a Discrete Random Variable 212

Case Study 5.1 All State Lottery 214

5.4 The Binomial Probability Distribution 219

5.5 Negative Binomial Probability Distribution 230

5.6 The Hypergeometric Probability Distribution 234

5.7 The Poisson Probability Distribution 237

Case Study 5.2 Global Birth and Death Rates 240

Uses and Misuses of Statistics / Glossary / Exercises / Self-Review Test / Mini-Projects / Decide for Yourself / Chapter 5 Technology Instructions

6 Continuous Random Variables and the Normal Distribution 257

6.1 Continuous Probability Distribution and the Normal Probability Distribution 258

Case Study 6.1 Distribution of Time Ta...