Stats: Data and Models: United States Edition
Autor Richard D. De Veaux, Paul F. Velleman, David E. Bocken Limba Engleză Mixed media product – 2 ian 2007
Written in an approachable style without sacrificing rigor, this newly revised text is appropriate for a one- or two-semester course. Features include Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
Datasets and other resources (where applicable) for this book are available here.
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Specificații
ISBN-13: 9780321433794
ISBN-10: 0321433793
Pagini: 800
Dimensiuni: 216 x 254 mm
Greutate: 2.05 kg
Ediția:2Nouă
Editura: Pearson Education
Colecția Pearson Education
Locul publicării:Upper Saddle River, United States
ISBN-10: 0321433793
Pagini: 800
Dimensiuni: 216 x 254 mm
Greutate: 2.05 kg
Ediția:2Nouă
Editura: Pearson Education
Colecția Pearson Education
Locul publicării:Upper Saddle River, United States
Cuprins
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
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
22. Comparing Two Proportions
VI. Learning About the World
23. Inferences About Means
24. Comparing Means
25. Paired Samples and Blocks
26. Comparing Counts
VII. Modeling the World
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
30. Multiple Regression
31. Multiple Regression Wisdom
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
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
22. Comparing Two Proportions
VI. Learning About the World
23. Inferences About Means
24. Comparing Means
25. Paired Samples and Blocks
26. Comparing Counts
VII. Modeling the World
27. Inferences for Regression
28. Analysis of Variance
29. Multifactor Analysis of Variance
30. Multiple Regression
31. Multiple Regression Wisdom
Notă biografică
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://dasl.datadesk.com), 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), 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 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.
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://dasl.datadesk.com), 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), 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 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.
Caracteristici
- Math Boxes provide proofs, derivations, and formulas so that students can refer to the underlying mathematics for enhanced understanding.
- Think, Show, Tell solution steps teach students how to think statistically, show proper application of techniques and tell others what they learned. These step-by-step examples guide students through the problem with both a general explanation alongside the worked-o0ut solution.
- What Can Go Wrong? discussions in each chapter address common misuses, misapplications, and misunderstandings of statistics to arm students with the tools to detect statistical errors and debunk misuses of statistics.
- The authors consistently discuss the Assumptions and Conditions necessary to perform a particular test, make a certain calculation, or arrive at an interpretation or conclusion in the worked examples and exercises.
- Marginal Notation Alerts are included consistently throughout the text to explain and clarify how to properly use the related statistical notation.
- The CD-ROM included in every new copy of the book includes the following multimedia features:
- ActivStats®, a multimedia presentation of statistics which encourages students to explore, interact, and learn statistical concepts through video, animation, simulations, interactive activities, exercises, and hundreds of data sets in addition to interactive training on Data Desk. (Versions for MINITAB®, Excel®, SPSS®, and JMP®, may be bundled with the text.)
- A complete statistics package (student version of Data Desk®, and an Excel® add-in (DDXL).
- Problems in the book marked with a “T” indicate that the accompanying data set is included on the CD-ROM.
Caracteristici noi
- Where Are We Going? chapter openers motivate each chapter with a real-life example. This feature teaches students how the material fits in with what they’ve already learned and prepares them for the statistical concepts that lie ahead.
- Just Checking questions in the chapter ask students to pause and think about what they’ve just read to ensure that they understand the material presented thus far. Answers are at the end of the chapter.
- ActivStats Pointers throughout the text indicate where ActivStats activities complement and enhance the discussions presented in the book.
- What Have We Learned?summaries highlight concepts, terms, and skills that the student should have learned in the chapter.
- Exercise sets have been expanded with hundreds of new exercises and now feature an improved arrangement. They progress in difficulty from basic questions to complex, multi-step exercises that ask the student to synthesize and incorporate the ideas they’ve learned from previous chapters. Detailed answers are provided for odd-numbered exercises.
- The Adjunct and Instructor Support Site is a one-stop resource to help instructors plan and prepare for their course. Features include downloadable Lesson Podcasts (10 points in 10 minutes) that expand on the Instructor's Resource Guide materials, WebEX workshops on key topics and technology, and all teaching tools (such as sample syllabi, extra data sets, class examples and supplements) in one place.
- MyStatLab Part of the MyMathLab™ series, MyStatLab is an easily customizable online course that creates personalized study plans for your students based on their test results and offers unlimited (algorithmically generated) practice exercises correlated directly to the exercises in the textbook. MyStatLab is designed to be used in a lecture, self-paced, or distance-learning course, and now includes guided solutions to walk students through the exercises.