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Stats : Data and Models,9780321692559
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Stats : Data and Models

by ; ;
Edition:
3rd
ISBN13:

9780321692559

ISBN10:
0321692551
Format:
Hardcover
Pub. Date:
12/29/2010
Publisher(s):
Pearson
List Price: $196.00

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Summary

Stats: Data and Models, Third Edition,will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. #xA0; The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.

Author Biography

Richard D. De Veaux is an internationally known educator and lecturer. 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 been Professor of Statistics at Williams College. During 2006-2007 he returned to Princeton as the William R. Kenan Visiting Professor for Distinguished Teaching. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is a fellow of the American Statistical Association. Dick is also well known in industry, where over 20 years he has consulted for such companies as Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and American Express. Because of some conversations he had with Mickey Hart while Hart was doing research for his book, Planet Drum, Dick has often been called the "Official Statistician for the Grateful Dead."

            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 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 "Diminished Faculty," an a cappella Doo-Wop quartet at Williams College. He was once a professional dancer and teaches Modern Dance during Winter Study at Williams. 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 CD-ROM 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) (http://lib.stat.cmu.edu/DASL/., which provides data sets for teaching Statistics. Paul coauthored (with David Hoaglin) ABCs of Exploratory Data Analysis.

            Paul has taught Statistics at Cornell University since 1975. 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 is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science.

            Out of class, Paul sings baritone in a barbershop quartet. He is the father of two boys.

 

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) and Cornell University's Outstanding Educator Award (three times); he has also 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 for the AP Statistics exam, serves as a Statistics consultant to the College Board, and leads workshops and institutes for AP Statistics teachers. He is currently K-12 Education and Outreach Coordinator and a senior lecturer for the Mathematics Department at Cornell University.

            Dave relaxes by biking and hiking. He and his wife have enjoyed many days camping across Canada and through the Rockies. They have a son, a daughter, and twin granddaughters.

Table of Contents

I. Exploring and Understanding Data

1. Stats Starts Here

2. Data

3. Displaying and Describing Categorical Data

4. Displaying and Summarizing Quantitative Data

5. Understanding and Comparing Distributions

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

Review of Part I: Exploring and Understanding Data

 

II. Exploring Relationships between Variables

7. Scatterplots, Association, and Correlation

8. Linear Regression

9. Regression Wisdom

10. Re-expressing Data: Get It Straight!

Review of Part II: Exploring Relationships Between Variables

 

III. Gathering Data

11. Understanding Randomness

12. Sample Surveys

13. Experiments and Observational Studies

Review of Part III: Gathering Data

 

IV. Randomness and Probability

14. From Randomness to Probability

15. Probability Rules!

16. Random Variables

17. Probability Models

Review of Part IV: Randomness and Probability

 

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

Review of Part V: From the Data at Hand to the World at Large

 

VI. Learning about the World

23. Inferences about Means

24. Comparing Means

25. Paired Samples and Blocks

Review of Part VI: Learning About the World

 

VII. Inference When Variables are Related

26. Comparing Counts

27. Inferences for Regression

28. Analysis of Variance

29. Multifactor Analysis of Variance

30. Multiple Regression

31. Multiple Regression Wisdom

Review of Part VII: Inference When Variables Are Related

 

APPENDIXES

A. Selected Formulas

B. Answers

C. Photo Acknowledgements

D. Index

E. Tables



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