John Wiley & Sons Introductory Statistics, International Adaptation Cover Introductory Statistics, 10th edition, is written for a one- or two-semester first course in applied.. Product #: 978-1-394-22638-2 Regular price: $69.07 $69.07 Auf Lager

Introductory Statistics, International Adaptation

Mann, Prem S.


10. Auflage Februar 2024
752 Seiten, Softcover
Wiley & Sons Ltd

ISBN: 978-1-394-22638-2
John Wiley & Sons

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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.

1 Introduction

2 Organizing and Graphing Data

3 Numerical Descriptive Measures

4 Probability

5 Discrete Random Variables and Their Probability Distributions

6 Continuous Random Variables and the Normal Distribution

7 Sampling Distributions

8 Estimation of the Mean and Proportion

9 Hypothesis Tests About the Mean and Proportion

10 Estimation and Hypothesis Testing: Two Populations

11 Chi-Square Tests

12 Analysis of Variance

13 Simple Linear Regression

14 Multiple Regression

15 Nonparametric Methods (online chapter)

APPENDIX A Explanation of Data Sets

APPENDIX B Statistical Tables

APPENDIX C Lists of Formulas


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.

P. S. Mann, Eastern Connecticut State University