Stats

Series
Pearson
Author
David E. Bock / Paul F. Velleman / Richard D. De Veaux  
Publisher
Pearson
Cover
Softcover
Edition
4
Language
English
Total pages
864
Pub.-date
January 2014
ISBN13
9780321854018
ISBN
0321854012
Related Titles


Product detail

Product Price CHF Available  
9780321854018
Stats
243.80

Alternative title

Product Edition Date Price CHF Available
9780134685762
Stats: Modeling the World
5 February 2018 243.80

Free evaluation copy for lecturers


Description

For courses in algebra-based introductory statistics

 

Clear, accessible, and teachable, Stats: Modeling the World leads with practical data analysis and graphics to engage students and get them thinking statistically from the start. Through updated, relevant examples and data—and the authors’ signature Think, Show, and Tell problem-solving method—students learn what we can find in data, why we find it interesting, and how to report it to others. The new Fourth Edition is even more engaging than previous editions, builds on the innovative features that have made the first three editions so popular, and includes revisions designed to make it even easier for students to put the concepts of statistics together in a coherent whole.

 

This program provides a better teaching and learning experience for you and your students. Here’s how:

  • Personalized learning with MyStatLab: the MyStatLab online course provides users with countless opportunities to practice, plus statistics-specific resources and tools that enhance their experience and comprehension.
  • Fun to read! The authors have worked to create a statistics text that students will enjoy reading and learning from; every page was written and rewritten to ensure a useful, fun text.
  • Real data sets using modern technology: Real data in the examples and exercises helps students focus on statistical thinking, rather than being bogged down with calculations.
  • Features for learning statistics and statistical thinking as it is practiced today: Building on the features that made the first three editions so popular, the new Fourth Edition is designed to make it even easier for students to put the concepts of statistics together in a coherent whole.

 

Features

  • Personalized learning with MyStatLab: the MyStatLab online course provides users with countless opportunities to practice, plus statistics-specific resources and tools that enhance their experience and comprehension.
    • MyStatLab can be successfully implemented in any environment—lab-based, hybrid, fully online, traditional—and demonstrates the quantifiable difference that integrated usage has on student retention, subsequent success, and overall achievement.
    • MyStatLab's comprehensive online gradebook automatically tracks students' results on tests, quizzes, homework, and in the study plan. Instructors can use the gradebook to provide positive feedback or intervene if students have trouble. Gradebook data can be easily exported to a variety of spreadsheet programs, such as Microsoft Excel.
    • MyStatLab provides engaging experiences that personalize, stimulate, and measure learning for each student, among them:
      • Tutorial Exercises with Multimedia Learning Aids
      • Adaptive Study Plan
      • Additional Statistics Question Libraries: 450 Getting Ready for Statistics questions and the 1000 Conceptual Question Library
      • StatCrunchTM, web-based statistical software that helps students easily analyze data sets from exercises and the text
      • Integration of Statistical Software
      • StatTalk Videos
      • Expert Tutoring
  • Fun to read! The authors have worked to create a statistics text that students will enjoy reading and learning from; every page was written and rewritten to ensure a useful, fun text.
    • NEW! A streamlined book design now clarifies the purpose of each text element, making it easier for students to follow the major theme of each chapter without distraction. The format discourages skimming, and encourages students to read and enjoy the experience.
    • NEW! A colloquial, informing, enticing writing style: this text just doesn’t read like other statistics texts.
    • NEW! Focused lessons in chapters that are shorter than in most other texts and easier for both instructors and students to focus on.
    • NEW! A consistency in showing how to do statistics well is demonstrated through modeling the importance of plotting data; checking assumptions and conditions; and writing conclusions that are clear, concise, and in context.
  • Real data sets using modern technology: Real data in the examples and exercises, and the use of modern technology to explore these data, helps students focus on statistical thinking, rather than being bogged down with calculations.
    • Technology: It is assumed that students are using some form of technology in the course. Rather than adopting particular software, the authors discuss generic computer output.
      • TI-Tips in most chapters show students how to use statistics features of the TI-84-Plus calculator
      • The DVD includes ActivStats and the software package Data Desk.
      • Appendix B offers general guidance to help students get started on common software platforms including StatCrunch, Excel, MINITAB, Data Desk, JMP, SPSS, and TI-Nspire.
      • The companion website includes additional guidance for students using Ti-89.
    • Data: In addition to including some small data sets, we have built examples and exercises on real data with a moderate number of cases—usually more than you would want to enter by hand into a program or calculator.
  • Features for learning statistics and statistical thinking as it is practiced today: Building on the features that made the first three editions so popular, the new Fourth Edition is designed to make it even easier for students to put the concepts of statistics together in a coherent whole.
    • NEW! What If features close most chapters by looking at a simulation that explores or extends an important concept.
    • NEW! Updated examples, exercises, and data. Included are hundreds of new exercises and continuing exercises updated with the most recent data, which is also included on the DVD and the book’s web site when possible.
    • NEW! New stories, research, articles, and other real-world sources are included in the Step-by-Step examples, For Examples, and exercises to engage students and let them explore further.
    • Think, Show, Tell. The Step-by-Step examples repeat the mantra of Think, Show, and Tell in every chapter. They emphasize the importance of thinking about a Statistics question—What do we know? What do we hope to learn? Are the assumptions and conditions satised?—and reporting our ndings—the Tell step. The Show step contains the mechanics of calculating results and conveys our belief that it is only one part of the process.  
    • What Can Go Wrong? sections illustrate the most common abuses and misconceptions about statistical thinking, help students detect statistical errors, and offer practice in debunking the misuses of statistics.
    • Just Checking exercises let students pause and confirm their understanding of the concepts before moving on.
    • ActivStats Pointers highlight concept videos, teaching applets, and animations in ActivStats that enhance the discussions in the book.
    • TI-Nspire® demonstrations and investigations enhance each chapter with this echnology.
    • Math Boxes give students easy-to-follow discussions of the underlying mathematics behind statistics. While students are not overwhelmed in proofs and derivations, they do see that the formulas and procedures stand on solid ground.
    • NEW! Updated easy-to-read TI Tips now show students how to use the TI-84 Plus statistics functions with the StatWizard operating system.
    • By Hand boxes show students how to do a calculation by hand.
    • Reality Checks ask students to check that their results make sense in the context of the problem before going on.
    • Notation Alerts emphasize the importance of clear communication while demonstrating that proper notation is part of the vocabulary of Statistics.
    • Exercises are paired so that each odd-numbered exercise (with an answer in the back of the book) is followed by an even-numbered exercise illustrating the same concept.
    • End-of-chapter features test students’ understanding of the material and help them prepare for exams. Included are:
      • NEW! What Have We Learned? These chapter-ending study guides are revised to better help students review the key concepts, terms, and skills.
      • . . . on the Computer sectionssummarize what students can find in the most common packages, often with an annotated example. Instructions for several of the most common statistical software packages, among them: Data Desk®, Excel®, SPSS®, JMP® MINITAB®, and the TI-84 Plus graphing calculator, are in Appendix B.
    • NEW! Practice Exams at the end of the book’s seven parts include multiple-choice and free-response questions. These cumulative exams encourage students to keep important concepts and skills in mind throughout the course, while helping them synthesize their understanding as they build connections among the various topics.
    • The accompanying DVD includes a wealth of supporting materials, including:
      • ActivStats, the award-winning multimedia program that complements the book with videos of real-world stories; worked examples; animated expositions of each of the major statistics topics; and tools for performing simulations, visualizing inference, and learning to use statistics software.
      • Data Desk, a powerful, easy-to-use, full-featured statistics software package.
      • Additional tech guidance for the TI-89 calculators.
      • Additional chapters covering Analysis of Variance (Chapter 27) and Multiple Regression (Chapter 28), both pointing the way to further study in statistics.

 

New to this Edition

  • A streamlined book design now clarifies the purpose of each text element, making it easier for students to follow the major theme of each chapter without distraction. The format discourages skimming, and encourages students to read and enjoy the experience.
  • What If features close most chapters by looking at a simulation that explores or extends an important concept.
  • Updated examples, exercises, and data. Included are hundreds of new exercises and continuing exercises updated with the most recent data, which is also included on the DVD and the book’s web site when possible.
  • New stories, research, articles, and other real-world sources are included in the Step-by-Step examples, For Examples, and exercises to engage students and let them explore further.
  • Updated easy-to-read TI Tips now show students how to use the TI-84 Plus statistics functions with the StatWizard operating system.
  • What Have We Learned? These chapter-ending study guides are revised to better help students review the key concepts, terms, and skills.
  • Practice Exams at the end of the book’s seven parts include multiple-choice and free-response questions. These cumulative exams encourage students to keep important concepts and skills in mind throughout the course, while helping them synthesize their understanding as they build connections among the various topics.

 

Table of Contents

I. EXPLORING AND UNDERSTANDING DATA

1. Stats Start Here

2. Data

3. Displaying and Describing Categorical Data

4. Displaying and Comparing Qualitative Data

5. Understanding and Comparing Distributions

6. The Standard Deviation as a Ruler and the Normal Model

 

II EXPLORING RELATIONSHIPS BETWEEN VARIABLES

7. Scatterplots, Association, and Correlation

8. Linear Regression

9. Regression Wisdom

10. Re-expressing Data: Get it Straight!

 

III. GATHERING DATA

11. Understanding Randomness

12. Sample Surveys

13. Experiments and Observational Studies

 

IV. RANDOMNESS AND PROBABILITY

14. From Randomness to Probability

15. Probability Rules!

16. Random Variables

17. Probability Models

 

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

18. Sampling Distribution Models

19. Confidence Intervals for Proportions

20. Testing Hypotheses About Proportions

21. More About Tests and Intervals

22. Comparing Two Proportions

 

VI. LEARNING ABOUT THE WORLD

23. Inferences about Means

24. Comparing Means

25. Paired Samples and Blocks

 

VII. INFERENCE WHEN VARIABLES ARE RELATED

26. Comparing Counts

27. Inferences for Regression

28. Analysis of Variance (on DVD)

29. Multiple Regression (on DVD)

Author

David E. Bock taught mathematics at Ithaca High School for 35 years. He has taughtStatistics 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, serves as a Statistics consultant to the College Board, and leads workshops and institutes for AP Statistics teachers. He also served as K–12 Education and Outreach Coordinator and a senior lecturer for the Mathematics Department at Cornell University. His understanding of how students learn informs much of this book’s approach.

Dave and his wife relax by biking or hiking, and when not at home near Ithaca can often be found in North Carolina’s Blue Ridge Mountains. They have a son, a daughter, and four grandchildren.

 

 

Richard D. De Veaux is an internationally known educator and consultant. He hastaught 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 Statistics at Williams College. He is currently the C. Carlisle and Margaret Tippit Professor of Statistics 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). In 2008, he was named Statistician of the Year by the Boston Chapter of the 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 “OfficialStatistician 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. His research focuses on the analysis of large data sets and data mining in science and industry.

 

In his spare time, he is an avid cyclist and swimmer. He also is the founder and bass for the doo-wop group, the Diminished Faculty, and is a frequent singer and soloist with various local choirs, including the Choeur Vittoria of Paris, France. Dick is the father of four children.

 

 

 

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 Dataand 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 teaches Statistics at Cornell University in the Department of Statistical Sciences, for which he has been 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. His research often deals with statistical graphics and data analysis methods. Paul co-authored (with David Hoaglin) ABCs of Exploratory Data Analysis. Paul is a Fellow ofthe American StatisticalAssociation and of the American Association for the Advancement of Science. Paul is the father of two boys.