
Stats: Data and Models by Paul F. Velleman, Richard D. De Veaux, David E. Bock
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Stats: Data and Models by Paul F. Velleman, Richard D. De Veaux, David E. Bock
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A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: Roseville, California, United States
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eBay item number:135090478468
Item specifics
- Condition
- ISBN
- 9780321692559
About this product
Product Identifiers
Publisher
Addison Wesley
ISBN-10
0321692551
ISBN-13
9780321692559
eBay Product ID (ePID)
99588634
Product Key Features
Number of Pages
976 Pages
Language
English
Publication Name
Stats : Data and Models
Subject
Probability & Statistics / General
Publication Year
2010
Features
Revised
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
74.3 Oz
Item Length
11.2 in
Item Width
8.8 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
LCCN
2010-005111
Dewey Edition
23
Dewey Decimal
519.5
Table Of 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 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
Edition Description
Revised edition
Synopsis
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., 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.
LC Classification Number
QA276.12.D417 2012
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