# Stats: Modeling the World AP® Edition, 6th Edition © 2023

Help students open up a new view onto the world through the lens of statistics. The text’s signature problem-solving style engages students on multiple levels to deepen their understanding of ideas.

• Step by step examples help students think about upcoming problems
• Updates in the exercises and data demonstrate statistics’ current relevance
• Full inclusion of all new topics from the revised AP® Statistics syllabus

### AP® Statistics Program Teaching Solutions

Stats: Modeling the World shows AP math students how to gather and interpret data through an innovative three-step process.

### “Think, Show, and Tell” Method

Students learn how to approach a question and solve the problem then communicate its meaning in numerous exercises throughout the text.

### Deeper Understanding

Many of the stories, articles, and other sources used as examples are listed. Teachers and students can then research them further and gain greater insight into the material.

### AP Exam Practice

Multiple-choice and free response questions throughout the course prepare students for success on the AP exam they can take at the end of the year.

### AP Test Prep Workbook

This workbook for AP® Statistics includes chapter-by-chapter correlations between key AP Statistics test topics and the corresponding chapter and sections of the text, hundreds of practice study questions with answers, comprehensive guidelines for mastering each type of exam question, four complete practice exams in AP format, and more.

## High School AP® Statistics Program Teaching Solutions

• Updated Examples, Exercises, and Data
• New and Updated Features
• MyMathLab for School Features
• Recent Data
Hundreds of exercises have been updated to include the most recent data.
• Study Guides
What Have We Learned? chapter-ending study guides review key concepts and terms.
• Practice Exams
Practice Exams after each part offer both multiple-choice and free response questions.
• Simulations
Simulations in almost every chapter introduce a new topic, illustrate a concept, or help analyze data when traditional methods are insufficient.
• Encourage Independent Study
Sources are provided for the recent new stories, research articles, and other data points, so students can perform further research.
• AP Exam Prep
Full inclusion of all new topics in the revised AP Statistics Syllabus so teachers and students can prepare for the exam without needing to supplement the text.
• New Syllabus Topics
Syllabus topics range from new graphical tools like the cumulative distribution plot to stricter guidelines on how to carry out some hypothesis tests.
• Practice Opportunities
Every syllabus change is reflected in the exercises as well as the text to give students opportunities to practice what they have learned.
• Full eText
A page-for-page eText of the Instructor’s Edition is available in the Instructor Resources section.
• PowerPoint Slides
PowerPoint slides featuring key ideas and examples can be found within the Video and Resource Library. They can be used with screen readers.
• Applets
New Applets help students understand a wide range of topics covered within introductory statistics.
• Real Data Exercises
Updated real data exercises with jittering applied where necessary to ensure appropriate variation.
• Personal Inventory Assessments
New Personal Inventory Assessments are online exercises that help promote self reflection and include topics such as Stress Management and Time Management.

### Empower Your Math Students with the MyMathLab® Platform from Pearson

MyMathLab® for School from Pearson empowers teachers and students to personalize the learning experience and improve results throughout the class.

## Correlation for AP®

Our solutions for AP® are designed to support and correlate the College Board's Course and Exam Descriptions for each corresponding course.

## More About Stats: Modeling the World

• David E. Bock Author Bio
David E. Bock taught mathematics at Ithaca High School for 35 years. He has taught Statistics at Ithaca High School, Tompkins-Cortland Community College, Ithaca College, and Cornell University. Dave has won numerous teaching awards, including the MAA’s Edyth May Sliffe Award for Distinguished High School Mathematics Teaching (twice), Cornell University’s Outstanding Educator Award (three times), and has been a finalist for New York State Teacher of the Year. Dave holds degrees from the University at Albany in Mathematics (B.A.) and Statistics/ Education (M.S.). Dave has been a reader and table leader for the AP Statistics exam and a Statistics consultant to the College Board, leading workshops and institutes for AP Statistics teachers. His understanding of how students learn informs much of this book’s approach.
• Floyd Bullard Author Bio
Floyd Bullard first taught high school math as a Peace Corps volunteer in Benin, West Africa, when he was 23 years old. Today he teaches at the North Carolina School of Science and Mathematics in Durham, North Carolina, where he has been since 1999. Floyd has served on the AP Statistics test development committee and presents regularly at workshops and conferences for Statistics teachers. Floyd’s academic degrees are from the Johns Hopkins University (B.S., Applied Mathematics, 1991), the University of North Carolina at Chapel Hill (M.S., Statistics, 1997), and Duke University (Ph.D., Statistics, 2009). He likes to do crossword puzzles and play the piano (not at the same time!).
• Paul F. Velleman Author Bio
Paul F. Velleman has an international reputation for innovative Statistics education. He is the author and designer of the multimedia Statistics program ActivStats, for which he was awarded the EDUCOM Medal for innovative uses of computers in teaching Statistics and the ICTCM Award for Innovation in Using Technology in College Mathematics. He also developed the award-winning Statistics program Data Desk and the Internet site Data and Story Library (DASL) (lib.stat.cmu.edu/DASL/), which provides data sets for teaching Statistics. Paul’s understanding of using and teaching with technology informs much of this book’s approach. Paul taught Statistics at Cornell University in the Department of Statistical Sciences, for which he was awarded the MacIntyre Prize for Exemplary Teaching. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees in Statistics from Princeton University, where he studied with John Tukey.
• Richard D. De Veaux Author Bio
Richard D. De Veaux is an internationally known educator and consultant. He has taught at the Wharton School and the Princeton University School of Engineering, where he won a “Lifetime Award for Dedication and Excellence in Teaching.” Since 1994, he has taught at Williams College. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is an elected member of the International Statistics Institute (ISI) and a fellow of the American Statistical Association (ASA). Dick is also well known in industry, where for more than 25 years he has consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. Because he consulted with Mickey Hart on his book Planet Drum, he has also sometimes been called the “Official Statistician for the Grateful Dead.” His real-world experiences and anecdotes illustrate many of this book’s chapters. Dick holds degrees from Princeton University in Civil Engineering (B.S.E.) and Mathematics (A.B.) and from Stanford University in Dance Education (M.A.) and Statistics (Ph.D.), where he studied dance with Inga Weiss and Statistics with Persi Diaconis.

I. EXPLORING AND UNDERSTANDING DATA

• 1. Stats Starts Here
• 2. Displaying and Describing Categorical Data
• 3. Displaying and Summarizing Quantitative Data
• 4. Understanding and Comparing Distributions
• 5. The Standard Deviation as a Ruler and the Normal Model
• Review of Part I: Exploring and Understanding Data

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES

• 6. Scatterplots, Association, and Correlation
• 7. Linear Regression
• 8. Regression Wisdom
• 9. Re-expressing Data: Get It Straight!
• Review of Part II: Exploring Relationships Between Variables

III. GATHERING DATA

• 10. Understanding Randomness
• 11. Sample Surveys
• 12. Experiments and Observational Studies
• Review of Part III: Gathering Data

IV. RANDOMNESS AND PROBABILITY

• 13. From Randomness to Probability
• 14. Probability Rules!
• 15. Random Variables
• 16. Probability Models
• Review of Part IV: Randomness and Probability

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE

• 17. Sampling Distribution Models
• 18. Confidence Intervals for Proportions
• 19. Testing Hypotheses About Proportions
• 20. More About Tests and Intervals
• 21. Comparing Two Proportions
• Review of Part V: From the Data at Hand to the World at Large

• 23. Comparing Means
• 24. Paired Samples and Blocks
• Review of Part VI: Learning About the World

VII. INFERENCE WHEN VARIABLES ARE RELATED

• 25. Comparing Counts
• 26. Inferences for Regression
• Review of Part VII: Inference When Variables Are Related

Appendixes

• A. Selected Formulas
• B. Guide to Statistical Software
• D. Photo and Text Acknowledgments
• E. Index
• F. Tables

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