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Statistics: The Art and Science of Learning from Data, Global Edition, 4th Edition

By Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
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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.

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Pearson Higher Ed USA
Table of contents
  • 1. Statistics: The Art and Science of Learning from Data
  • 2. Exploring Data with Graphs and Numerical Summaries
  • 3. Association: Contingency, Correlation, and Regression
  • 4. Gathering Data
  • 5. Probability in Our Daily Lives
  • 6. Probability Distributions
  • 7. Sampling Distributions
  • 8. Statistical Inference: Confidence Intervals
  • 9. Statistical Inference: Significance Tests About Hypotheses
  • 10. Comparing Two Groups
  • 11. Analyzing the Association Between Categorical Variables
  • 12. Analyzing the Association Between Quantitative Variables: Regression Analysis
  • 13. Multiple Regression
  • 14. Comparing Groups: Analysis of Variance Methods
  • 15. Nonparametric Statistics
  • Tables
  • Answers
  • Index
  • Index of Applications
  • Photo Credits
Features & benefits


  • NEW! Topical coverage reflecting the latest trends in statistical education, including:
    • Measures of association for categorical variables in Chapter 3
    • Permutation testing in Chapters 10 and 11
    • Updated coverage of McNemar's test in Chapter 10 (previously Chapter 11)
  • Promoting Student Learning: these features were created to motivate students to think about the material presented, ask interesting questions, and develop good problem-solving skills.
    • In Words summarises complicated symbolic notation and formal definitions in a non-technical, less formal way to help students understand “what it really means.”
    • New Caution margin boxes appear at appropriate places to help students avoid common mistakes.
    • Recall margin boxes direct students back to previous presentations in the text to review definitions and formulas, and to reinforce key concepts in context.
    • Did You Know margin boxes provide information that helps with the contextual understanding of the statistical questions.
    • Annotated figures feature labels to identify noteworthy aspects in each illustration that may not be obvious to inexperienced students; many captions include questions designed to challenge students to think more about the information being presented.
  • Real-World Connections
    • Chapter-opening examples include a high-interest example that raises questions and establishes a chapter theme. Opening examples use real-world data from a variety of applications.
    • In Practice boxes alert students to the way statisticians actually analyse data in the real world.
  • Exercises and Examples incorporate real data and focus on intriguing topics that appeal to students.
    • Examples emphasise thinking about and understanding statistics through analysis of current real data. The unique five-step format encourages students to model the thought processes required to examine issues in statistics.
      • Picture the Scenario presents background information so that students can understand the context of the data.
      • Questions to Explore show students the appropriate questions to ask about the scenario and focus on what students should learn from the example.
      • Think It Through is the heart of each example, as the Questions to Explore are investigated and answered using the appropriate statistical methods.
      • Insight clarifies the central ideas investigated in the example and places them in a broader context that states the conclusions in less technical terms. This step also connects concepts from other sections in the book.
      • A Try Exercise directs students to an end-of-section exercise that allows immediate practice of the concept
      • Concept tags are included with each example so that students can easily identify the concept demonstrated in the example.
    • A plethora of chapter exercises test student comprehension through interesting real-data problems. Exercises, divided into three categories, address relevant and thought-provoking topics, such as cell phone usage, cancer, and public support for the death penalty.
      • Practicing the Basics reinforce basic applications of methods.
      • Concepts and Investigations require students to explore the theory and concepts presented in the chapter through real data sets.
      • Student Activities are appropriate for individual or group work and often make use of the web apps that accompany the text.