• PART ONE: GATHERING AND EXPLORING DATA
• 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
• PART TWO: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS
• 5. Probability in Our Daily Lives
• 6. Probability Distributions
• 7. Sampling Distributions
• PART THREE: INFERENTIAL STATISTICS
• 8. Statistical Inference: Confidence Intervals
• 9. Statistical Inference: Significance Tests About Hypotheses
• 10. Comparing Two Groups
• PART FOUR: ANALYZING ASSOCIATION AND EXTENDED STATISTICAL METHODS
• 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

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

About the Book

• 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 summarizes 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.
  • Active learning is encouraged through the use of simulations and hands-on activities via Learning Catalytics.
  • Learning Catalytics is a web-based engagement and assessment tool. As a "bring-your-own-device" direct response system, Learning Catalytics offers a diverse library of dynamic question types that allow students to interact with and think critically about statistical concepts. As a real-time resource, instructors can take advantage of critical teaching moments both in the classroom or through assignable and gradable homework.
• 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 analyze data in the real world.
• Exercises and Examples incorporate real data and focus on intriguing topics that appeal to students.
  • Examples emphasize 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.
    • NEW and updated example

About the Book

• 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)
• New Caution margin boxes appear at appropriate places to help students avoid common mistakes.

MyStatLabTM not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

• Increased exercise coverage on 60% of the book's exercises, gives instructors even more options when creating assignments.
• Web Apps—delivered through examples, exercises, and simulations—allow students to interact with key statistical concepts and techniques, including permutation tests, bootstrapping, and sampling distributions. Students can explore the consequences of changing parameters and carry out statistical inference.
• UPDATED! Technology Instruction Videos provide step-by-step instructions on how to perform statistical procedures using Excel^®, Minitab^®, StatCrunch, and the TI Graphing Calculator.
• UPDATED! Instructor-to-Instructor videos feature the authors’ perspectives on chapters and helpful suggestions for how to teach from the book. The videos can be accessed through a link in Pearson’s Instructor Resource Center and through MyStatLab.
• Learning Catalytics is a web-based engagement and assessment tool. As a "bring-your-own-device" direct response system, Learning Catalytics offers a diverse library of dynamic question types that allow students to interact with and think critically about statistical concepts. As a real-time resource, instructors can take advantage of critical teaching moments both in the classroom or through assignable and gradable homework.