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For courses in introductory statistics. Statistics: The Art and Science of Learning from Data takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analysing data, rather than just memorising procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it’s important for students to learn and analyse both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. 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.

Statistics: The Art and Science of Learning from Data, Global Edition

• Title Page


• Copyright Page


• Dedication


• Contents


• Preface


• Part One Gathering and Exploring Data


• Chapter 1 Statistics: The Art and Science of Learning from Data


• 1.1 Using Data to Answer Statistical Questions


• 1.2 Sample Versus Population


• 1.3 Using Calculators and Computers


• Chapter Summary


• Chapter Problems


• Chapter 2 Exploring Data with Graphs and Numerical Summaries


• 2.1 Different Types of Data


• 2.2 Graphical Summaries of Data


• 2.3 Measuring the Center of Quantitative Data


• 2.4 Measuring the Variability of Quantitative Data


• 2.5 Using Measures of Position to Describe Variability


• 2.6 Recognizing and Avoiding Misuses of Graphical Summaries


• Chapter Summary


• Chapter Problems


• Chapter 3 Association: Contingency, Correlation, and Regression


• 3.1 the Association Between Two Categorical Variables


• 3.2 the Association Between Two Quantitative Variables


• 3.3 Predicting the Outcome of a Variable


• 3.4 Cautions in Analyzing Associations


• Chapter Summary


• Chapter Problems


• Chapter 4 Gathering Data


• 4.1 Experimental and Observational Studies


• 4.2 Good and Poor Ways to Sample


• 4.3 Good and Poor Ways to Experiment


• 4.4 Other Ways to Conduct Experimental and Nonexperimental Studies


• Chapter Problems


• Chapter Summary


• Part Two Probability, Probability Distributions, and Sampling Distributions


• Chapter 5 Probability in Our Daily Lives


• 5.1 How Probability Quantifies Randomness


• 5.2 Finding Probabilities


• 5.3 Conditional Probability


• 5.4 Applying the Probability Rules


• Chapter Summary


• Chapter Problems


• Chapter 6 Probability Distribut