"Robert Stine holds a Ph.D. from Princeton University. He has taught at the Wharton School since 1983, during which time he has regularly taught business  statistics.


 


Dean Foster holds a Ph.D. from the University of Maryland. He has taught at the Wharton School since 1992 and previously taught at the University of Chicago"


 

I. Variation


 


1. Introduction


2. Data


3. Describing Categorical Data


4. Describing Numerical Data


5. Association Between Categorical Variables


6. Association Between Quantitative Variables


 


II. Probability


 


7. Probability


8. Conditional Probability


9. Random Variables


10. Association Between Random Variables


11. Probability Models for Counts


12. The Normal Probability Model


 


III. Inference


 


13. Samples and Surveys


14. Sampling Variation and Quality


15. Confidence Intervals


16. Statistical Tests


17. Comparison


18. Inference for Counts


 


IV. Regression Models


 


19. Linear Patterns


20. Curved Patterns


21. The Simple Regression Model


22. Regression Diagnostics


23. Multiple Regression


24. Building Regression Models


25. Categorical Explanatory Variables


26. Analysis of Variance


27. Time Series


 

Each chapter opens with a motivating business example that frames a question and motivates the contents of the chapter. The authors return to the example throughout the chapter, as the statistical methods are presented and provides answers to the question posed in the opening example.

4-M Analytics 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.

Each chapter includes software hints on using Excel, Minitab, and JMP for calculations and to generate graphs. These hints give students a jumping off point for getting started doing statistical analysis with software.

Statistics in Action case studies follow each of the four parts of the book. Each case provides an in-depth look at a business application of statistics, uses real data, and takes students through the details of using that data to address a business question.