Intro stats
著者
書誌事項
Intro stats
Pearson Addison Wesley, c2006
2nd ed., international ed
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注記
"Pearson international edition"--Cover
"Not for sale in the U.S.A. or Canada"--Back cover
Includes indexes
System requirements for accompanying disc: Pentium Processor; 64 MB RAM; Windows 98/2K/NT/XP; 800x600, 256 colors monitor; 2X CD-ROM drive; 8-bit sound card
内容説明・目次
内容説明
The short, teachable chapters and approachable, colloquial style of Intro Stats has made it the most successful first edition Statistics text. Professors across the country report that students actually read the book. Now a hallmark feature, Intro Stats teaches students how to think statistically, show proper application of techniques, and tell others what they have learned. What Can Go Wrong? sections in each chapter give students the tools to detect statistical errors and debunk misuses of statistics, whether intentional or not.
目次
(* Indicates an optional chapter. Review Material appears at the end of each part.) 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 (LLN).
15. Probability Rules!
16. *Random Variables.
17. *Probability Models (Binomial).
V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.
18. Sampling Distribution Models (CLT).
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 Blocks.
VII. INFERENCE WHEN VARIABLES ARE RELATED.
26. Comparing Counts (Chi Square).
27. Inferences for Regression.
28. Analysis of Variance (on CD).
29. Multiple Regression (on CD).
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