Stats
Pearson
978-0-321-20054-9 (ISBN)
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This book is written for the introductory statistics course and students majoring in any field. It is written in an approachable, informal style that invites students to think about how to reason when data is available. Stats: Data and Models (SDM), as compared to Intro Stats, offers Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics (Ch. 28-31) that are often covered in a two-semester course, plus the inclusion of non-parametrics. SDM carries a core focus on statistical thinking and understanding analyses throughout the text, emphasizing how statistics helps us to understand the world. The book also recognizes the central role that technology plays in statistics. SDM is organized into short teachable chapters that focus on one topic at a time, offering instructors flexibility in selecting topics while students receive digestible chunks of information that build on previous material before moving on.
I. Exploring and Understanding Data
1. Stats Starts Here
2. Data
3. Displaying Categorical Data
4. Displaying Quantitative Data
5. Describing Distributions Numerically
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: It's easier than you think
III. Gathering Data
11. Understanding Randomness
12. Sample Surveys
13. Experiments
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 Blocks26. Comparing Counts
VII. Modeling the World
27. Inferences for Regression
28. Analysis of Variance
29. Two Way Analysis of Variance
30. Multiple Regression
31. Multiple Regression Wisdom
Erscheint lt. Verlag | 2.4.2004 |
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Sprache | englisch |
Maße | 212 x 264 mm |
Gewicht | 1808 g |
Themenwelt | Mathematik / Informatik ► Mathematik |
ISBN-10 | 0-321-20054-3 / 0321200543 |
ISBN-13 | 978-0-321-20054-9 / 9780321200549 |
Zustand | Neuware |
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