000			03316nam a2200253Ia 4500
003			NULRC
005			20250520100601.0
008			250520s9999 xx 000 0 und d
020			_a9780321753724
040			_cNULRC
050			_aQA 276.12 .D48 2012
100			_aDe Veaux, Richard D. _eauthor
245		0	_aStats : _bdata and models / _cRichard D. De Veaux, Paul F. Velleman and David E. Bock.
250			_aThird edition.
260			_aBoston, Massachusetts : _bAddision-Wesley Publishing Company, _cc2012
300			_axxv, 865, 75 pages : _bcolor illustrations ; _c29 cm.
365			_bPHP7140
504			_aIncludes bibliographical references and index.
505			_aI. Exploring and Understanding Data1. 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 APPENDIXESA. Selected Formulas -- B. Answers -- C. Photo Acknowledgements -- D. Index -- E. Tables
520			_atats: Data and Models, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data ― while maintaining the book’s core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century.
650			_aMATHEMATICAL STATISTICS -- TEXTBOOKS
700			_aPaul F. Velleman, ;David E. Bock. _eco-author;co-author
942			_2lcc _cBK
999			_c8649 _d8649