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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 authorsrs" signatureThink, Show, Tellproblem-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.
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.
Table of Contents
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Exploring and Understanding Data
Stats Starts Here
The Standard Deviation as Ruler and the Normal Model
Exploring Relationships Between Variables
Scatterplots, Association, and Correlation
Re-expressing Data: It's Easier Than You Think
Randomness and Probability
From Randomness to Probability
From the Data At Hand to the World At Large
Sampling Distribution Models
Confidence Intervals for Proportions
Testing Hypotheses About Proportions
More About Tests
Comparing Two Proportions
Learning About the World
Inferences About Means
Paired Samples and Blocks
Inference When Variables are Related
Inferences for Regression
Analysis of Variance (on CD)
Multiple Regression (on CD)
Table of Contents provided by Publisher. All Rights Reserved.