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Basic Practice of Statistics
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A defining text in statistics education, The Basic Practice of Statistics puts data analysis at the forefront and begins to develop students' reasoning and judgment about statistical studies. Written by an author team of accomplished leaders in statistics education, it reflects the actual practice of statistics, where data analysis and design of data production join with probability-based inference to form a coherent science of data. The authors' ultimate goal is to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment. Part of the best-selling Moore family of statistics books, Basic Introduction to the Practice of Statistics is designed for a one-semester `introduction to statistics' course and offers a concise, accessible introduction to the subject.
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Table of Contents

1. Picturing Distributions with Graphs.- 2. Describing Distributions with Numbers.- 3. The Normal Distributions.- 4. Scatterplots and Correlation.- 5. Regression.- 6. Two-Way Tables.- 7. Exploring Data.- 8. Producing Data: Sampling.- 9. Producing Data: Experiments.- 10. Data Ethics.- 11. Producing Data: Review.- 12. Introducing Probability.- 13. General Rules of Probability.- 14. Binomial Distributions.- 15. Sampling Distributions.- 16. Confidence Intervals: The Basics.- 17. Tests of Significance: The Basics.- 18. Inference in Practice.- 19. From Data Production to Inference.- 20. Inference about a Population Mean.- 21. Comparing Two Means.- 22. Inference about a Population Proportion.- 23. Comparing Two Proportions.- 24. Inference about Variables.- 25. Two Categorical Variables: The Chi-Square Test.- 26. Inference for Regression.- 27. One-Way Analysis of Variance: Comparing Several Means.- 28. Nonparametric Tests.- 29. Multiple Regression.- 30. More about Analysis.- 31. Statistical Process Control

About the Author

David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He is the author of influential articles on statistics education and of several leading texts.. William I. Notz is Professor of Statistics at the Ohio State University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Michael A. Fligner is an Adjunct Professor at the University of California at Santa Cruz and a non-resident Professor Emeritus with the Ohio State University. Professor Fligner's research interests are in Nonparametric Statistical methods and he received the Statistics in Chemistry award from the American Statistical Association for work on detecting biologically active compounds. Professor Fligner is currently associated with the Center for Statistical Analysis in the Social Sciences at the University of California at Santa Cruz.

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