**Authors: **David S. Moore, William I. Notz **ISBN-13: ****9780716786368**, **ISBN-10: ****0716786362**
**Format: **Paperback **Publisher: **Freeman, W. H. & Company
**Date Published: **November 2005 **Edition: **6th Edition

The data analysis approach pioneered by David Moore was first introduced in this groundbreaking brief text for liberal arts students. By emphasizing concepts and applications to a wide range of fields (as opposed to formulas and computation) the text has become an influential bestseller, and its emphasis on ideas and data is now generally acknowledged as the most effective way to teach statistics to nonmathematical students. Featuring new coauthor, William Notz and new features, exercises, and applications, the sixth edition of *Stastisics: Concepts and Controversies* is ready to reveal the power of statistics to a new generation of students.

This textbook examines statistical ideas and reasoning and their relevance to public policy and the human sciences from medicine to sociology. It is not intended as a treatment of statistical theory and methods, except as they apply to these issues. Moore (Purdue U.) discusses concepts such as sampling errors, the wording of questions, data ethics, displaying distributions with graphs, scatterplots, correlations, probability models, and the use and abuse of statistical inference. The previous edition's eight chapters have been separated into 25 short ones. Annotation c. Book News, Inc., Portland, OR (booknews.com)

To the Teacher: Statistics as a Liberal Discipline Prelude: Making Sense of Data

**I. Producing Data**

1. Where Do Data Come From?

2. Samples, Good and Bad

3. What Do Samples Tell Us?

4. Sample Surveys in the Real World

5. Experiments, Good and Bad

6. Experiments in the Real World

7. Data Ethics

8. Measuring

9. Do the Numbers Make Sense?

Review I: Producing Data

**II. Organizing Data**10. Graphs Good and Bad

11. Displaying Distributions with Graphs

12. Describing Distributions with Numbers

13. Normal Distributions

14. Describing Relationships: Scatterplots and Correlation

15. Describing Relationships: Regression, Prediction, and Causation

16. The Consumer Price Index and Government Statistics Review II: Organizing Data

III. Chance

18. Probability Models

19. Simulation

20. The House Edge: Expected Values Review III: Chance

**IV. Inference**21. What is a Confidence Interval?

22. What is a Test of Significance?

23. Use and Abuse of Statistical Inference

24. Two-Way Tables and the Chi-square Test

25. Inference About a Population Means Part IV Review

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