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Exploring the World through Data We live in a data-driven world, and the goal of this text is to teach students how to access and analyse these data critically. Authors Rob Gould, Colleen Ryan, and Rebecca Wong want students to develop a "data habit of mind" because learning statistics is an essential life skill that extends beyond the classroom. Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. 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.

Essential Statistics, Global Edition

• Title Page


• Copyright Page


• Dedication


• About the Authors


• Contents


• Preface


• Acknowledgments


• Index of Applications


• Chapter 1: Introduction to Data


• Case Study: Deadly Cell Phones?


• 1.1. What Are Data?


• 1.2. Classifying and Storing Data


• 1.3. Organizing Categorical Data


• 1.4. Collecting Data to Understand Causality


• Exploring Statistics: Collecting a Table of Different Kinds of Data


• Chapter 2: Picturing Variation with Graphs


• Case Study: Student-to-Teacher Ratio at Colleges


• 2.1. Visualizing Variation in Numerical Data


• 2.2. Summarizing Important Features of a Numerical Distribution


• 2.3. Visualizing Variation in Categorical Variables


• 2.4. Summarizing Categorical Distributions


• 2.5. Interpreting Graphs


• Exploring Statistics: Personal Distance


• Chapter 3: Numerical Summaries of Center and Variation


• Case Study: Living in a Risky World


• 3.1. Summaries for Symmetric Distributions


• 3.2. What?s Unusual? The Empirical Rule and z-Scores


• 3.3. Summaries for Skewed Distributions


• 3.4. Comparing Measures of Center


• 3.5. Using Boxplots for Displaying Summaries


• Exploring Statistics: Does Reaction Distance Depend on Gender?


• Chapter 4: Regression Analysis: Exploring Associations between Variables


• Case Study: Catching Meter Thieves


• 4.1. Visualizing Variability with a Scatterplot


• 4.2. Measuring Strength of Association with Correlation


• 4.3. Modeling Linear Trends


• 4.4. Evaluating the Linear Model


• Exploring Statistics: Guessing the Age of Famous People


• Chapter 5: Modeling Variation with Probability


• Case Study: SIDS or Murder?


• 5.1. What Is Randomness?


• 5.2. Finding Theor