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Business Statistics: Communicating with Numbers
Business Statistics: Communicating with Numbers

Business Statistics: Communicating with Numbers, 4th Edition

ISBN10: 1260716309 | ISBN13: 9781260716306
By Alison Kelly and Sanjiv Jaggia

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* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

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Business Statistics strengthens the connection between the study of business statistics and the study of business analytics. The authors believe that the 4th edition will not only prepare students in basic statistics but will also get them ready and excited about further exploration of data analytics. This edition is available for use with McGraw Hill Connect®, a reliable, easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools for better student results. 

PART ONE: Introduction

CHAPTER 1: Data and Data Preparation

PART TWO: Descriptive Statistics

CHAPTER 2: Tabular and Graphical Methods

CHAPER 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: Forecasting with Time Series Data

CHAPTER 19: Returns, Index Numbers, and Inflation

CHAPTER 20: Nonparametric Tests

APPENDIX A: Getting Started with R


APPENDIX C: Answers to Selected Even-Numbered Exercises

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About the Author

Alison Kelly

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 (CFA®). Dr. Kelly has published in a wide variety of academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. Her courses in applied statistics and econometrics are popular with students as well as working professionals. She has also served as a consultant for a number of companies; her most recent work focused on how large financial institutions satisfy requirements mandated by the Dodd-Frank Act. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening. 

Sanjiv Jaggia

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. 


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