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Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Models with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples give students a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Stats: Data and Models, Global Edition

• Title Page


• Copyright Page


• Table of Contents


• Preface


• Supplements


• Acknowledgments


• Part I Exploring and Understanding Data


• Chapter 1 Stats Starts Here


• 1.1 What Is Statistics?


• 1.2 Data


• 1.3 Variables


• Chapter 2 Displaying and Describing Categorical Data


• 2.1 Summarizing and Displaying a Single Categorical Variable


• 2.2 Exploring the Relationship Between Two Categorical Variables


• Chapter 3 Displaying and Summarizing Quantitative Data


• 3.1 Displaying Quantitative Variables


• 3.2 Shape


• 3.3 Center


• 3.4 Spread


• 3.5 Boxplots and 5-Number Summaries


• 3.6 The Center of Symmetric Distributions: The Mean


• 3.7 The Spread of Symmetric Distributions: The Standard Deviation


• 3.8 Summary?What to Tell About a Quantitative Variable


• Chapter 4 Understanding and Comparing Distributions


• 4.1 Comparing Groups with Histograms


• 4.2 Comparing Groups with Boxplots


• 4.3 Outliers


• 4.4 Timeplots: Order, Please!


• 4.5 Re-Expressing Data: A First Look


• Chapter 5 The Standard Deviation as a Ruler and the Normal Model


• 5.1 Standardizing with z-Scores


• 5.2 Shifting and Scaling


• 5.3 Normal Models


• 5.4 Finding Normal Percentiles


• 5.5 Normal Probability Plots


• Part II Exploring Relationships Between Variables


• Chapter 6 Scatterplots, Association, and Correlation


• 6.1 Scatterplots


• 6.2 Correlation


• 6.3 Warning: Correlation fi Causation


• *6.4 Straightening Scatterplots


• Chapter 7 Linear Regression


• 7.1 Least Squares: The Line of ?Best Fit?


• 7.2 The Linear Model


• 7.3 Finding the Least Squares Line


• 7.4 Regress