Business Statistics: Communicating with Numbers ISE

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 (CFA). He enjoys research in statistics and data analytics applied to a wide range of business disciplines. Dr. Jaggia has published numerous papers in leading academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. 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. 

PART ONE: INTRODUCTION 
 1 Data and Data Preparation 

PART TWO: DESCRIPTIVE STATISTICS 
 2 Tabular and Graphical Methods 
 3 Numerical Descriptive Measures 

PART THREE: PROBABILITIY AND PROBABILITY DISTRIBUTIONS
 4 Introduction to Probability 
 5 Discrete Probability Distributions 
 6 Continuous Probability Distributions 

PART FOUR: BASIC INFERENCE 
 7 Sampling and Sampling Distributions 
 8 Interval Estimation 
 9 Hypothesis Testing
 10 Statistical Inference Concerning Two Populations 
 11 Statistical Inference Concerning Variance 
 12 Chi-Square Tests 

PART FIVE: ADVANCED INFERENCE 
 13 Analysis of Variance 
 14 Regression Analysis 
 15 Inference with Regression Models 
 16 Regression Models for Nonlinear Relationships 
 17 Regression Models with Dummy Variables 

PART SIX: SUPPLEMENTARTY TOPICS 
 18 Forecasting with Time Series Data 
 19 Returns, Index Numbers, and Inflation 
 20 Nonparametric Tests 

APPENDIX A: Getting Started with R 
APPENDIX B: Tables 
APPENDIX C: Answers to Selected Even-Numbered Exercises