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About This Book Introductory Statistics presents the fundamentals of statistics, featuring data production and data analysis.

Data exploration is emphasized as an integral prelude to inference.

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In encouraging students to develop their understanding of the concept of variation ... Library of Congress Cataloging-in-Publication Data Weiss, N. ix 321 322 322 323 329 337 342 358 358 359 366 372 379 390 400 414 421 432 432 433 439 451 464 477 491 500 511 511 512 526 x CONTENTS C H A P T E R 12 Inferences for Population Proportions Case Study: Healthcare in the United States 12.1 Confidence Intervals for One Population Proportion 12.2 Hypothesis Tests for One Population Proportion 12.3 Inferences for Two Population Proportions Chapter in Review 575, Review Problems 576, Focusing on Data Analysis 578, Case Study Discussion 578, Biography 578 C H A P T E R 13 Chi-Square Procedures Case Study: Eye and Hair Color 13.1 The Chi-Square Distribution 13.2 Chi-Square Goodness-of-Fit Test 13.3 Contingency Tables; Association 13.4 Chi-Square Independence Test 13.5 Chi-Square Homogeneity Test Chapter in Review 621, Review Problems 622, Focusing on Data Analysis 625, Case Study Discussion 625, Biography 625 PART V Regression, Correlation, and ANOVA C H A P T E R 14 Descriptive Methods in Regression and Correlation 544 544 545 557 562 580 580 581 582 592 603 613 627 628 Case Study: Shoe Size and Height 14.1 Linear Equations with One Independent Variable 14.2 The Regression Equation 14.3 The Coefficient of Determination 14.4 Linear Correlation Chapter in Review 663, Review Problems 664, Focusing on Data Analysis 666, Case Study Discussion 666, Biography 666 628 629 634 648 655 C H A P T E R 15 Inferential Methods in Regression and Correlation 668 Case Study: Shoe Size and Height 15.1 The Regression Model; Analysis of Residuals 15.2 Inferences for the Slope of the Population Regression Line 15.3 Estimation and Prediction 15.4 Inferences in Correlation ∗ 15.5 Testing for Normality Chapter in Review 710, Review Problems 711, Focusing on Data Analysis 713, Case Study Discussion 713, Biography 714 668 669 680 687 696 702 C H A P T E R 16 Analysis of Variance (ANOVA) Case Study: Partial Ceramic Crowns 16.1 The F-Distribution 16.2 One-Way ANOVA: The Logic 16.3 One-Way ANOVA: The Procedure ∗ 16.4 Multiple Comparisons ∗ 16.5 The Kruskal–Wallis Test Chapter in Review 756, Review Problems 756, Focusing on Data Analysis 758, Case Study Discussion 758, Biography 759 ∗ Indicates optional material.C.1 Factorial Designs C.2 Two-Way ANOVA: The Logic C.3 Two-Way ANOVA: The Procedure C.4 Two-Way ANOVA: Multiple Comparisons C.5 Randomized Block Designs C.6 Randomized Block ANOVA: The Logic C.7 Randomized Block ANOVA: The Procedure C.8 Randomized Block ANOVA: Multiple Comparisons ∗ C.9 Friedman’s Nonparametric Test for the Randomized Block Design Module Review, Review Problems, Focusing on Data Analysis, Case Study Discussion, Answers ∗ Indicates optional material.xi xii CONTENTS Appendixes A p p e n d i x A Statistical Tables A p p e n d i x B Answers to Selected Exercises Index Photo Credits Weiss Stats CD (brief contents) Note: See the Weiss Stats CD Read Me file for detailed contents.Example 1.1: Tax-cut rhetoric In spring 2003, while promoting a tax cut, ...... Apr 11, 2015 - Key Words: Ok Cupid; Online dating; Data science; Big data; Logistic regression; Text ... Production Coordination, Composition, and Illustrations: Aptara Corporation For permission to use copyrighted material, grateful acknowledgment is made to the copyright holders on page C-1, which is hereby made part of this copyright page. 1,000 Chips Challenge” 8.1 Estimating a Population Mean 8.2 Confidence Intervals for One Population Mean When σ Is Known 8.3 Margin of Error 8.4 Confidence Intervals for One Population Mean When σ Is Unknown Chapter in Review 353, Review Problems 354, Focusing on Data Analysis 356, Case Study Discussion 357, Biography 357 C H A P T E R 9 Hypothesis Tests for One Population Mean Case Study: Gender and Sense of Direction 9.1 The Nature of Hypothesis Testing 9.2 Critical-Value Approach to Hypothesis Testing 9.3 P-Value Approach to Hypothesis Testing 9.4 Hypothesis Tests for One Population Mean When σ Is Known 9.5 Hypothesis Tests for One Population Mean When σ Is Unknown ∗ 9.6 The Wilcoxon Signed-Rank Test ∗ 9.7 Type II Error Probabilities; Power ∗ 9.8 Which Procedure Should Be Used?