Table of Contents

• 1. Data and Decisions (E-Commerce)
• 2. Displaying and Describing Categorical Data (Keen, Inc.)
• 3. Displaying and Describing Quantitative Data (AIG)
• 4. Correlation and Linear Regression (Amazon.com)
• 5. Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
• 6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
• 7. The Normal and other Continuous Distributions (The NYSE)
• 8. Surveys and Sampling (Roper Polls)
• 9. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
• 10. Testing Hypotheses about Proportions (Dow Jones Industrial Average)
• 11. Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.)
• 12. More About Tests and Intervals (Traveler’s Insurance)
• 13. Comparing Two Means (Visa Global Organization)
• 14. Inference for Counts: Chi-Square Tests (SAC Capital)
• 15. Inference for Regression (Nambé Mills)
• 16. Understanding Residuals (Kellogg’s)
• 17. Multiple Regression (Zillow.com)
• 18. Building Multiple Regression Models (Bolliger and Mabillard)
• 19. Time Series Analysis (Whole Food Market)
• 20. Design and Analysis of Experiments and Observational Studies (Capital One)
• 21. Quality Control (Sony)
• 22. Nonparametric Methods (i4cp)
• 23. Decision Making and Risk (Data Description, Inc.)
• 24. Introduction to Data Mining (Paralyzed Veterans of America)
• Appendices