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.
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.
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.
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.
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
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.
 |
Ask a Question About this Product More... |
|
