KEY BENEFIT: By leading with practical data analysis and graphics, Stats: Modeling the World , Third Edition, engages students and gets them to do statistics and think statistically from the start. With the authors’ signature Think, Show, Tell problem-solving method, students learn what we can find in data, why we find it interesting and how to report it to others. Instructors praise this text as clear and accessible, while students report that they actually enjoy reading the book while learning how to do statistics. Additional examples with updated data make this new edition even easier to read and use.
EXPLORING AND UNDERSTANDING DATA; Stats Start Here; Data; Displaying and Describing Categorical Data; Displaying and Comparing Qualitative Data; Understanding and Comparing Distributions; The Standard Deviation as a Ruler and the Normal Model; EXPLORING RELATIONSHIPS BETWEEN VARIABLES; Scatterplots, Association, and Correlation; Linear Regression; Regression Wisdom; Re-expressing Data: Get it Straight!; GATHERING DATA; Understanding Randomness; Sample Surveys; Experiments and Observational Studies; RANDOMNESS AND PROBABILITY; From Randomness to Probability; Probability Rules!; Random Variables; Probability Models; FROM THE DATA AT HAND TO THE WORLD AT LARGE; Sampling Distribution Models; Confidence Intervals for Proportions; Testing Hypotheses About Proportions; More About Tests and Intervals; Comparing Two Proportions; LEARNING ABOUT THE WORLD; Inferences about Means; Comparing Means; Paired Samples and Blocks; INFERENCE WHEN VARIABLES ARE RELATED; Comparing Counts; Inferences for Regression; Analysis of Variance (on DVD); Multiple Regression (on DVD)
For all readers interested in introductory statistics.
"synopsis" may belong to another edition of this title.
David Bock (Cornell University) has won awards as a high school teacher of AP calculus and statistics and was a grader for the AP Statistics program from its inception. He now is the chief extension officer for the Cornell University mathematics department in charge of outreach to K-12 teachers. Dave’s wisdom about how students learn helps shape the book’s pedagogy.
Paul Velleman (Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning. The developer of ActivStats® multimedia software, Data Desk statistics software, and the DASL online archive of teaching datasets, his understanding of using and teaching with technology informs much of the book’s approach.
Richard D. De Veaux (Williams College) is an award-winning teacher and consultant to major corporations. Dick has taught business students at Wharton, engineering students at Princeton, and liberal arts students at Williams. His real-world experiences and anecdotes illustrate many of this book’s chapters.
"About this title" may belong to another edition of this title.
Book Description Pearson, 2009. Hardcover. Book Condition: New. Bookseller Inventory # P110321570448
Book Description Pearson. Hardcover. Book Condition: New. 0321570448 New Condition. Bookseller Inventory # NEW4.0149793
Book Description Pearson. Hardcover. Book Condition: New. 0321570448 New Condition *** Right Off the Shelf | Ships within 2 Business Days ~~~ Customer Service Is Our Top Priority! - Thank you for LOOKING :-). Bookseller Inventory # 1BOOK4P394181
Book Description Pearson, 2009. Hardcover. Book Condition: New. book. Bookseller Inventory # 0321570448
Book Description Pearson, 2009. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Normal 0 false false false I. EXPLORING AND UNDERSTANDING DATA 1. Stats Starts Here 2. Data 3. The Standard Deviation as Ruler and the Normal Model II EXPLORING RELATIONSHIPS BETWEEN VARIABLES 4. Scatterplots, Association, and Correlation 5. Regression Wisdom 6. Re-expressing Data: It's Easier Than You Think III. GATHERING DATA 7. Understanding Randomness 8. Sample Surveys 9. Experiments IV. RANDOMNESS AND PROBABILITY 10. From Randomness to Probability 11. Probability Rules! 12. Random Variables 13. Probability Models V. FROM THE DATA AT HAND TO THE WORLD AT LARGE 14. Sampling Distribution Models 15. Confidence Intervals for Proportions 16. Testing Hypotheses About Proportions 17. More About Tests 18. Comparing Two Proportions VI. LEARNING ABOUT THE WORLD 19. Inferences About Means 20. Comparing Means 21. Paired Samples and Blocks VII. INFERENCE WHEN VARIABLES ARE RELATED 22. Comparing Counts 23. Inferences for Regression 24. Analysis of Variance (on CD) 25. Multiple Regression (on CD). Bookseller Inventory # ABE_book_new_0321570448