ISE Business Statistics: Communicating with Numbers
3rd Edition
Published on 26. July 2018
Book
Paperback/Softback
978-1-260-28837-7 (ISBN)
Description
The third edition of Business Statistics: Communicating with Numbers provides a unique, innovative, and engaging learning experience for students studying Business Statistics. It is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach. Throughout the book, the authors have presented the material in an accessible way by using timely business applications to which students can relate. Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.
The third edition of Business Statistics: Communicating with Numbers provides a unique, innovative, and engaging learning experience for students studying Business Statistics. It is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach. Throughout the book, the authors have presented the material in an accessible way by using timely business applications to which students can relate. Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.
The third edition of Business Statistics: Communicating with Numbers provides a unique, innovative, and engaging learning experience for students studying Business Statistics. It is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach. Throughout the book, the authors have presented the material in an accessible way by using timely business applications to which students can relate. Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.
More details
Edition
3rd edition
Language
English
Place of publication
OH
United States
Dimensions
Height: 277 mm
Width: 216 mm
Thickness: 28 mm
Weight
1536 gr
ISBN-13
978-1-260-28837-7 (9781260288377)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFAi?). He enjoys research in statistics and econometrics applied to a wide range of business disciplines. Dr. Jaggia has published several papers in leading academic journals and has co-authored two successful textbooks in business statistics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFAi?). Dr. Kelly has published in a wide variety of academic journals and has co-authored two successful textbooks in business statistics. Her courses in applied statistics and econometrics are well received by students as well as working professionals. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFAi?). He enjoys research in statistics and econometrics applied to a wide range of business disciplines. Dr. Jaggia has published several papers in leading academic journals and has co-authored two successful textbooks in business statistics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFAi?). Dr. Kelly has published in a wide variety of academic journals and has co-authored two successful textbooks in business statistics. Her courses in applied statistics and econometrics are well received by students as well as working professionals. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFAi?). Dr. Kelly has published in a wide variety of academic journals and has co-authored two successful textbooks in business statistics. Her courses in applied statistics and econometrics are well received by students as well as working professionals. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFAi?). He enjoys research in statistics and econometrics applied to a wide range of business disciplines. Dr. Jaggia has published several papers in leading academic journals and has co-authored two successful textbooks in business statistics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFAi?). Dr. Kelly has published in a wide variety of academic journals and has co-authored two successful textbooks in business statistics. Her courses in applied statistics and econometrics are well received by students as well as working professionals. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
Content
<b>PART ONE Introduction</b>
CHAPTER 1 Statistics and Data
<b>PART TWO Descriptive Statistics</b>
CHAPTER 2 Tabular and Graphical Methods
CHAPTER 3 Numerical Descriptive Measures
<b>PART THREE Probability and Probability Distributions</b>
CHAPTER 4 Introduction to Probability
CHAPTER 5 Discrete Probability Distributions
CHAPTER 6 Continuous Probability Distributions
<b>PART FOUR Basic Inference</b>
CHAPTER 7 Sampling and Sampling Distributions
CHAPTER 8 Interval Estimation
CHAPTER 9 Hypothesis Testing
CHAPTER 10 Statistical Inference Concerning Two Populations
CHAPTER 11 Statistical Inference Concerning Variance
CHAPTER 12 Chi-Square Tests
<b>PART FIVE Advanced Inference</b>
CHAPTER 13 Analysis of Variance
CHAPTER 14 Regression Analysis
CHAPTER 15 Inference with Regression Models
CHAPTER 16 Regression Models for Nonlinear Relationships
CHAPTER 17 Regression Models with Dummy Variables
<b>PART SIX Supplementary Topics</b>
CHAPTER 18 Time Series and Forecasting
CHAPTER 19 Returns, Index Numbers, and Inflation
CHAPTER 20 Nonparametric Tests
<b>APPENDIXES</b>
APPENDIX A Getting Started with R
APPENDIX B Tables
APPENDIX C Answers to Selected Even-Numbered Exercises
Glossary G-1
Index I-1
CHAPTER 1 Statistics and Data
<b>PART TWO Descriptive Statistics</b>
CHAPTER 2 Tabular and Graphical Methods
CHAPTER 3 Numerical Descriptive Measures
<b>PART THREE Probability and Probability Distributions</b>
CHAPTER 4 Introduction to Probability
CHAPTER 5 Discrete Probability Distributions
CHAPTER 6 Continuous Probability Distributions
<b>PART FOUR Basic Inference</b>
CHAPTER 7 Sampling and Sampling Distributions
CHAPTER 8 Interval Estimation
CHAPTER 9 Hypothesis Testing
CHAPTER 10 Statistical Inference Concerning Two Populations
CHAPTER 11 Statistical Inference Concerning Variance
CHAPTER 12 Chi-Square Tests
<b>PART FIVE Advanced Inference</b>
CHAPTER 13 Analysis of Variance
CHAPTER 14 Regression Analysis
CHAPTER 15 Inference with Regression Models
CHAPTER 16 Regression Models for Nonlinear Relationships
CHAPTER 17 Regression Models with Dummy Variables
<b>PART SIX Supplementary Topics</b>
CHAPTER 18 Time Series and Forecasting
CHAPTER 19 Returns, Index Numbers, and Inflation
CHAPTER 20 Nonparametric Tests
<b>APPENDIXES</b>
APPENDIX A Getting Started with R
APPENDIX B Tables
APPENDIX C Answers to Selected Even-Numbered Exercises
Glossary G-1
Index I-1