Test Bank for Intro Stats, 4/E 4th Edition : 0321891244

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Test Bank for Intro Stats, 4/E 4th Edition : 0321891244 Digital Instant Download

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A Descriptive Test Bank for Intro Stats, 4/E By Richard D. De Veaux, Paul F. Velleman, David E. Bock

Product details:

  • ISBN-10 ‏ : ‎ 0321825276
  • ISBN-13 ‏ : ‎ 978-0321825278
  • Author: Dick De Veaux (Williams College)

Richard De Veaux, Paul Velleman, and David Bock wrote Intro Stats with the goal that you have as much fun reading it as they did in writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages readers from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples provide a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results.

Table contents:

Part I. Exploring and Understanding Data
1. Stats Starts Here!
2. Displaying and Describing Categorical Data
3. Displaying and Summarizing Quantitative Data
4. Understanding and Comparing Distributions
5. The Standard Deviation as a Ruler and the Normal Model

Part II. Exploring Relationships Between Variables
6. Scatterplots, Association, and Correlation
7. Linear Regression
8. Regression Wisdom

Part III. Gathering Data
9. Understanding Randomness
10. Sample Surveys
11. Experiments and Observational Studies

Part IV. Randomness and Probability
12. From Randomness to Probability
13. Probability Rules!
14. Random Variables and Probability Models

Part V. From the Data at Hand to the World at Large
15. Sampling Distribution Models
16. Confidence Intervals for Proportions
17. Testing Hypotheses About Proportions
18. Inferences About Means
19. More About Tests and Intervals

Part VI. Learning About the World
20. Comparing Groups
21. Paired Samples and Blocks
22. Comparing Counts
23. Inferences for Regression

Part VII. Inference When Variables Are Related
24. Analysis of Variance
25. Multiple Regression

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