Intro Stats
United States Edition
3rd Edition
Published on 14. February 2008
Book
Mixed media product
864 pages
978-0-321-50045-8 (ISBN)
Description
Intro Stats, Third Edition extends the teaching innovations pioneered in the DeVeaux/Velleman/Bock books. Its focus on statistical thinking and modern practice are evident throughout. Each chapter opens with an example-and the data from that example are then displayed and analyzed to introduce new concepts. Graphics and summaries introduced in early chapters are used throughout the book, helping students become consistent statistical thinkers.
Intro Stats, Third Edition has a fun, conversational writing style, real up-to-date data, hundreds of examples based on current events, and short, accessible chapters. The innovative Think/Show/Tell examples, pioneered in the first edition, now present new data and discussions. The new For Example sections illustrate each new concept or method with a brief, worked example.
This text covers all material typical in a one-semester statistics course, with supplemental chapters on analysis of variance (ANOVA) and multiple regression included on the book's DVD-ROM. The text maintains its commitment to the recommendations of the ASA-endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.
Datasets and other resources (where applicable) for this book are available here.
Intro Stats, Third Edition has a fun, conversational writing style, real up-to-date data, hundreds of examples based on current events, and short, accessible chapters. The innovative Think/Show/Tell examples, pioneered in the first edition, now present new data and discussions. The new For Example sections illustrate each new concept or method with a brief, worked example.
This text covers all material typical in a one-semester statistics course, with supplemental chapters on analysis of variance (ANOVA) and multiple regression included on the book's DVD-ROM. The text maintains its commitment to the recommendations of the ASA-endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.
Datasets and other resources (where applicable) for this book are available here.
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 276 mm
Width: 216 mm
Weight
1980 gr
ISBN-13
978-0-321-50045-8 (9780321500458)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Richard D. De Veaux | Paul F. Velleman | David E. Bock
Intro Stats Technology Update
United States Edition
Book
04/2011
3rd Edition
Pearson
€133.72
Article is exhausted; no reprint
Richard D. De Veaux | Paul F. Velleman | David E. Bock
Intro Stats Technology Update plus MyStatLab with Pearson eText -- Access Card Package
Book
3rd Edition
Pearson
€140.11
The article will not be published
Previous edition
Richard D. De Veaux | Paul F. Velleman | David E. Bock
Intro Stats
Book
06/2005
2nd Edition
Pearson
€99.42
Article exhausted; check for reprint
Persons
Dick DeVeaux (Williams College) is an award-winning teacher and consultant to major corporations. His real-world experiences and anecdotes illustrate many of the chapters. Dick has taught business students at Wharton, engineering students at Princeton, and liberal arts students at Williams. Dick was recently named the 2008 Mosteller Statistician of the Year, awarded by the Boston chapter of the American Statistical Association for exceptional contributions to the field of statistics and outstanding service to the statistical community. To learn more, please go to: http://www.williams.edu/admin/news/releases/1624/.
Paul Velleman(Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning. The developer of ActivStats (R) multimedia software, Data Desk (R) statistics software, and the DASL online archive of teaching datasets, his understanding of using and teaching with technology informs much of the book's approach.
David Bock(Cornell University) won awards as a high school teacher of AP calculus and statistics and was a grader for the AP Statistics program from its inception. He is now the chief extension officer for the Cornell University mathematics department in charge of outreach to K-12 teachers. Dave's wisdom about how students learn helps to shape the book's pedagogy.
Paul Velleman(Cornell University) is the only statistician to win the EDUCAUSE award for innovating technology for learning. The developer of ActivStats (R) multimedia software, Data Desk (R) statistics software, and the DASL online archive of teaching datasets, his understanding of using and teaching with technology informs much of the book's approach.
David Bock(Cornell University) won awards as a high school teacher of AP calculus and statistics and was a grader for the AP Statistics program from its inception. He is now the chief extension officer for the Cornell University mathematics department in charge of outreach to K-12 teachers. Dave's wisdom about how students learn helps to shape the book's pedagogy.
Content
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
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
Review of Part VII: Inference When Variables Are Related
28. Analysis of Variance-on the CD
29. Multiple Regression-on the CD
APPENDIXES
A. Answers
B. Photo Acknowledgements
C. Index
D. Tables and Selected Formulas
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
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
Review of Part VII: Inference When Variables Are Related
28. Analysis of Variance-on the CD
29. Multiple Regression-on the CD
APPENDIXES
A. Answers
B. Photo Acknowledgements
C. Index
D. Tables and Selected Formulas