Business Statistics: A First Course, Global Edition (8^th Ed.)

For one-semester business statistics courses.
A focus on using statistical methods to analyse and interpret results to make data-informed business decisions
Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors? diverse experiences, the 8th Edition, Global Edition, continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

First Things First

1. Defining and Collecting Data

2. Organizing and Visualizing Variables

3. Numerical Descriptive Measures

4. Basic Probability

5. Discrete Probability Distributions

6. The Normal Distribution

7. Sampling Distributions

8. Confidence Interval Estimation

9. Fundamentals of Hypothesis Testing: One-Sample Tests

10. Two-Sample Tests

11. Analysis of Variance

12. Chi-Square and Nonparametric Tests

13. Simple Linear Regression

14. Introduction to Multiple Regression

15. Multiple Regression Model Building

16. Time-Series Forecasting

17. Business Analytics

18. Getting Ready to Analyze Data in the Future

19. Statistical Applications in Quality Management (online)

20. Decision Making (online)

Self-Test Solutions and Answers to Selected Even-Numbered Problems

Business Statistics follows 5 guiding principles:

1. Help students see the relevance of statistics in their own careers by using examples from functional areas (e.g., accounting, finance, marketing, etc.) that they may specialize in.

2. Emphasize interpretation and analysis of statistical results over calculation, as these activities are more important to students’ futures.

3. Give students ample practice in understanding how to apply statistics to business (e.g., classroom examples and homework exercises involve actual or realistic data, and both small and large data sets).

4. Familiarize students with the use of data analysis software. Microsoft Excel, JMP, and Minitab are integrated into all topics to illustrate how software can help in the business decision-making process.

5. Provide clear data analysis software instructions to students so they understand how to use the programs.

A real-life business approach grounds statistics in everyday life, helping students see how the concepts they are learning apply to their future careers.

· New - An online First Things First chapter uses real-world examples to illustrate how developments such as the increasing use of business analytics and big data have made knowing and understanding stats that much more critical.

· New and Revised - Using Statistics business scenarios open each chapter, providing context for the concepts and showing how statistics is used in key functional areas of business. At the end of the chapter, Using Statistics, Revisited, reinforces the statistical methods and applications just discussed. In the 8th Edition, 7 chapters have new or revised Using Statistics scenarios.

· A running end-of-chapter Case throughout the text helps integrate learning across chapters and