Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case 462 Using Technology: MINITAB: Two-Sample Inferences 525 TI-83/TI-84 Plus Graphing Calculator: Two Sample Inferences 526 Chapter 10 Analysis of Variance: Comparing More than Two Means 10.1 Elements of a Designed Study 532 10.2 The Completely Randomized Design: Single Factor 539 10.3 Multiple Comparisons of Means 556 10.4 The Randomized Block Design 564 10.5 Factorial Experiments: Two Factors 582 Statistics in Action: Voice versus Face Recognition—Does One Follow the Other? 531 Using Technology: MINITAB: Analysis of Variance 610 TI-83/TI-84 Plus Graphing Calculator: Analysis of Variance 611 530 Chapter 11 Simple Linear regression 612 11.1 Probabilistic Models 614 11.2 Fitting the Model: The Least Squares Approach 618 11.3 Model Assumptions 631 11.4 Assessing the Utility of the Model: Making Inferences about the Slope b1 636 11.5 The Coefficients of Correlation and Determination 645 11.6 Using the Model for Estimation and Prediction 655 11.7 A Complete Example 664 Statistics in Action: Can “Dowsers” Really Detect Water? 613 Using Technology: MINITAB: Simple Linear Regression 678 TI-83/TI-84 Plus Graphing Calculator: Simple Linear Regression 679 Chapter 12 Multiple regression and Model Building 681 12.1 Multiple-Regression Models 683 PART I: First-Order Models with Quantitative Independent Variables 12.2 Estimating and Making Inferences about the b Parameters 685 12.3 Evaluating Overall Model Utility 692 12.4 Using the Model for Estimation and Prediction 703 PART II: Model Building in Multiple Regression 12.5 Interaction Models 709
