PART ONE: VARIATION

1. 1. Introduction
2. 2. Data
3. 3. Describing Categorical Data
4. 4. Describing Numerical Data 5. Association between Categorical Variables
5. 6. Association between Quantitative Variables

PART TWO: PROBABILITY

1. 7. Probability
2. 8. Conditional Probability
3. 9. Random Variables
4. 10. Association between Random Variables
5. 11. Probability Models for Counts
6. 12. The Normal Probability Model

PART THREE: INFERENCE

1. 13. Samples and Surveys
2. 14. Sampling Variation and Quality
3. 15. Confidence Intervals
4. 16. Statistical Tests

Statistics in Practice: Preparing Students for Real Business

• 4-M Examples (Motivation, Method, Mechanics, Message) provide a consistent methodology used for worked-out examples. This approach gives students a consistent structure for solving problems and presenting their findings in the appropriate context.
• Running Business Examples start each chapter by framing a business question to motivate the contents of the chapter. The example is referenced throughout the chapter when new statistical methods are presented.
• Statistics in Action case studies follow each of the four parts of the book. These longer applications expand on the statistical methods presented within the preceding part and use them to delve into substantive aspects of real-world business cases.
• Video resources available in MyStatLab offer students insight into how statistical concepts are applied in the business world and the world around us.
  • Business Insight Videos show how statistical methods are used by real businesses.
  • NEW! StatTalk Videos present statistical concepts through a series of fun, brief, real-world vignettes.

Practice & Support: Challenging Students to Assess, Analyze and Report

• NEW! More than 150 exercises are new or have been updated to provide readers with the most up-to-date and relevant data available.
• Exercises are divided into five types. Each type focuses on a particular skill to build a deeper understanding of business statistics.
• • Mix and Match and True/False problems test whether students recognize symbols and important steps of calculations.
  • Think About It questions encourage students to pull together concepts and ideas from the chapter; no technology is required.
  • You Do It problems provide practice working through the mechanics of solving a problem (statistical software usage is recommended). These exercises apply the statistical concepts students have learned in the chapter to data related to a business application. Data are available on the included CD-ROM.
  • 4-M Questions are richer, more substantive problems that mimic real applications of statistics in business. Data are available on the included CD-ROM.
• Support
  • NEW! 30 new What Do You Think? questions check students’ comprehension of the important ideas in the preceding section, ensuring that they understand the concepts before moving on in the chapter.
  • Caution icons indicate a concept that can be troublesome and helps students avoid making common mistakes.
  • Tip icons highlight important ideas or hints within the exposition so that readers don’t overlook them.
  • Best Practices and Pitfalls listed at the end of every chapter offer reminders to help students avoid mistakes such as using the wrong method for a situation, or misinterpreting results.

Technology Integration: Giving Students More Tools for Their Future Careers

• Software Hints at the end of each chapter provide relevant commands for popular statistics packages: Excel^®, Minitab^®, and JMP^®.
• Extensive graphics, including Excel screenshots throughout the chapters and exercise sets, give students the opportunity to get familiar with seeing and interpreting statistical software output.
• Technology Tutorial Videos and Study Cards within MyStatLab provide targeted guidance to using statistical software. (Study Cards are available for bundling.)

Many features and resources have been updated to better support understanding and engagement, in addition to providing cases and real data to demonstrate real business situations.

• Additional Excel^® screenshots throughout the exercise sets offer students practice interpreting statistical software output.
• 30 new What Do You Think? questions check students’ comprehension of the important ideas in the preceding section, ensuring that they understand the concepts before moving on in the chapter.
• Each chapter now includes a list of learning objectives that provide guidance as students explore each chapter and review the major goals of the chapter.
• More than 150 exercises are new or have been updated to provide readers with the most up-to-date and relevant data available.
• This edition expands coverage of chi-squared tests to a full chapter (Chapter 18).
• Online supplementary material includes methods to use when standard procedures fail (Chapter 17 of the previous edition) and further coverage of two-way analysis of variance and the practice of building regression models.