ISE Business Statistics: Communicating with Numbers

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 (CFAï¿). 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 (CFAï¿). 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.

PART ONE Introduction
CHAPTER 1 Statistics and Data
PART TWO Descriptive Statistics
CHAPTER 2 Tabular and Graphical Methods
CHAPTER 3 Numerical Descriptive Measures
PART THREE Probability and Probability Distributions
CHAPTER 4 Introduction to Probability
CHAPTER 5 Discrete Probability Distributions
CHAPTER 6 Continuous Probability Distributions
PART FOUR Basic Inference
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
PART FIVE Advanced Inference
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
PART SIX Supplementary Topics
CHAPTER 18 Time Series and Forecasting
CHAPTER 19 Returns, Index Numbers, and Inflation
CHAPTER 20 Nonparametric Tests
APPENDIXES
APPENDIX A Getting Started with R
APPENDIX B Tables
APPENDIX C Answers to Selected Even-Numbered Exercises
Glossary G-1
Index I-1