Intro stats

For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Intro Stats, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data – while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for students to understand more complicated statistical later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching intro stats is revolutionary, while retaining its lively tone and popular features such as Think/Show/Tell examples. Also available with MyLab Statistics MyLabTM Statistics is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Statistics, search for: 0134210239 / 9780134210230 Intro Stats Plus NEW MyLab Statistics with Pearson eText - Access Card Package, 5/e Package consists of: 0134210220 / 9780134210223 Intro Stats, 5/e 0134768361 / 9780134768366 MyLab Statistics with Pearson eText - Standalone Access Card - for Intro Stats 5/e Cover......Page 1 Title Page......Page 4 Copyright Page......Page 5 Meet the Authors......Page 7 Table of Contents......Page 8 Preface......Page 12 Technology Resources......Page 19 Acknowledgments......Page 23 Index of Applications......Page 25 1. Stats Starts Here......Page 32 2. Displaying and Describing Data......Page 48 3. Relationships Between Categorical Variables—Contingency Tables......Page 95 4. Understanding and Comparing Distributions......Page 126 5. The Standard Deviation as a Ruler and the Normal Model......Page 153 Review of Part I: Exploring and Understanding Data......Page 185 6. Scatterplots, Association, and Correlation......Page 194 7. Linear Regression......Page 227 8. Regression Wisdom......Page 264 9. Multiple Regression......Page 307 Review of Part II: Exploring Relationships Between Variables......Page 338 10. Sample Surveys......Page 350 11. Experiments and Observational Studies......Page 374 Review of Part III: Gathering Data......Page 398 12. From Randomness to Probability......Page 404 13. Sampling Distribution Models and Confidence Intervals for Proportions......Page 441 14. Confidence Intervals for Means......Page 472 15. Testing Hypotheses......Page 503 16. More About Tests and Intervals......Page 538 Review of Part IV: From the Data at Hand to the World at Large......Page 563 17. Comparing Groups......Page 572 18. Paired Samples and Blocks......Page 616 19. Comparing Counts......Page 641 20. Inferences for Regression......Page 673 Review of Part V: Inference for Relationships......Page 716 Parts I–V Cumulative Review Exercises......Page 729 A. Answers......Page 735 B. Credits......Page 781 C. Indexes......Page 785 D. Tables and Selected Formulas......Page 797 Inspired by the 2016 Guidelines for Assessment and Instruction in Statistics (GAISE) Report revision, Intro Stats, 5th Edition by De Veaux / Velleman / Bock uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching intro stats is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as Think / Show / Tell examples. -- Provided by publisher