ISE Business Statistics: Communicating with Numbers - Sanjiv Jaggia

. .

Résumé :
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.

Biographie:
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 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.

Sommaire:
PART ONE Introduction

CHAPTER 1 Statistics and Data

CHAPTER 2 Tabular and Graphical Methods
CHAPTER 3 Numerical Descriptive Measures

CHAPTER 4 Introduction to Probability
CHAPTER 5 Discrete Probability Distributions
CHAPTER 6 Continuous Probability Distributions

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

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

CHAPTER 18 Time Series and Forecasting
CHAPTER 19 Returns, Index Numbers, and Inflation
CHAPTER 20 Nonparametric Tests

APPENDIX A Getting Started with R
APPENDIX B Tables
APPENDIX C Answers to Selected Even-Numbered Exercises
Glossary G-1
Index I-1