Business Statistics: Communicating with Numbers

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 B Tables
APPENDIX C Answers to Selected Even-Numbered Exercises
Glossary
Index

Overview:

This book offers an intellectually stimulating and practical introduction to business statistics. The text is visually appealing and makes learning accessible through timely business applications. In this updated fourth edition, the connection between business statistics and business analytics is strengthened. Students will not only gain a solid
foundation in basic statistics but also develop a keen interest in data analytics.

The emphasis throughout the text is on effective communication with numbers rather than just number crunching. Each chapter presents statistical information in written form. By incorporating the perspective of practitioners, the subject matter becomes more relevant and the material more straightforward for students. This approach
helps students appreciate the real-world applications and importance of business statistics in today’s data-driven environment.


Key Features:

1. Integrated Introductory Cases - Each chapter begins with an interesting and relevant introductory case. The case is threaded throughout the chapter, and once the relevant statistical tools have been covered, a synopsis—a short summary of findings—is provided. The introductory case often serves as the basis of several examples in other chapters.
2. Writing with Data - Interpreting results and conveying information effectively is critical to effective decision making in a business environment. Students are taught how to take the data, apply it, and convey the information in a meaningful way.
3. Unique Coverage of Regression Analysis - Relevant coverage of regression without repetition is an important hallmark of this text.
4. Written as Taught - Topics are presented the way they are taught in class, beginning with the intuition and explanation and concluding with the application.
5. Integration of Microsoft Excel® and R - Students are taught to develop an understanding of the concepts and how to derive the calculation; then Excel and R are used as a tool to perform the cumbersome calculations.
6. Real-World Exercises and Case Studies.

• Business Statistics