Business Statistics: Communicating with Numbers (häftad)
Häftad (Paperback)
Antal sidor
McGraw-Hill Education
Kelly, Alison
276 x 217 x 26 mm
1840 g
Antal komponenter
Business Statistics: Communicating with Numbers (häftad)

Business Statistics: Communicating with Numbers

Häftad, Engelska, 2016-02-16
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Overview: The second 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.
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Sanjiv Jaggia is the associate dean of graduate programs and a professor of economics and finance at California Polytechnic State University in San Luis Obispo, California. After earning a Ph.D. from Indiana University, Bloomington, in 1990, Dr. Jaggia spent17 years at Suffolk University, Boston. In 2003, he became a Chartered Financial Analyst (CFA(R)). Dr. Jaggia's research interests include empirical finance, statistics, and econometrics. He has published extensively in research journals, including the Journal of Empirical Finance, Review of Economics and Statistics, Journal of Business and Economic Statistics, and Journal of Econometrics. Dr. Jaggia's ability to communicate in the classroom has been acknowledged by several teaching awards. In 2007, he traded one coast for the other and now lives in San Luis Obispo, California, 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, Massachusetts. She received her B.A. degree from the College of the Holy Cross in Worcester, Massachusetts; her M.A. degree from the University of Southern California in Los Angeles; and her Ph.D. from Boston College in Chestnut Hill, Massachusetts. Dr. Kelly has published in journals such as the American Journal of Agricultural Economics, Journal of Macroeconomics, Review of Income and Wealth, Applied Financial Economics, and Contemporary Economic Policy. She is a Chartered Financial Analyst (CFA) and regularly teaches review courses in quantitative methods to candidates preparing to take the CFA exam. Dr. Kelly has also served as a consultant for a number of companies; her most recent work focuses on how large financial institutions satisfy requirements mandated by the Dodd-Frank Act. She resides in Hamilton, Massachusetts, with her husband and two children.


Part I Introduction

Chapter 1 Statistics and Data

Part II Descriptive Statistics

Chapter 2 Tabular and Graphical Methods

Chapter 3 Numerical Descriptive Measures

Part III Probability Concepts

Chapter 4 Basic Probability Concepts

Chapter 5 Discrete Probability Distributions

Chapter 6 Continuous Probability Distributions

Part IV 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

Part V Advanced Inference

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

Part VI Supplementary Topics

Chapter 18 Time Series and Forecasting

Chapter 19 Returns, Index Numbers and Inflation

Chapter 20 Nonparametric Tests

Part VII Appendices

Appendix A Statistical Tables

Appendix B Solutions to Even-Numbered Exercises

Appendix C Glossary