Books by David Moore



THE BASIC PRACTICE OF STATISTICS
5th edition, Freeman, spring 2009
Visit text Web site
ESSENTIAL STATISTICS
Freeman, summer 2009
Visit text Web site
INTRODUCTION TO THE PRACTICE OF STATISTICS
current edition by George P. McCabe and Bruce Craig.
Visit text Web site
STATISTICS: CONCEPTS AND CONTROVERSIES
current edition by William I. Notz.
Visit text Web site
PERSPECTIVES ON CONTEMPORARY STATISTICS
edited with David C. Hoaglin,
Mathematical Association of America Notes Series Number 21, 1992

THE BASIC PRACTICE OF STATISTICS

An introduction to statistical principles and methods that emphasizes experience with data and understanding of central statistical ideas. BPS is designed to be a modern text that is accessible to average undergraduates. It is modern in its balanced presentation of data analysis, data production, and probability-based inference. Its short chapters, frequent stopping points, and detailed reviews help students pace themselves. BPS presents probability and sampling distributions informally, concentrating on the idea of a distribution to support statistical inference. Additional more traditional probability appears in optional chapters.


ESSENTIAL STATISTICS

This new book offers ``just the basics'' of statistics for beginning students. Based on BPS, it is one-third shorter and correspondingly easier to cover and less expensive. All of the essential material for a first course is here, without extras or enrichment.


PERSPECTIVES ON CONTEMPORARY STATISTICS

A collection of essays on topics central to beginning statistics, aimed at teachers of statistics who are sophisticated but may not have been trained as statisticians. The chapters are ``What is statistics'' (David Moore), ``Data analysis'' (Paul Velleman and David Hoaglin), ``Computers and modern statistics'' (Ronald Thisted and Paul Velleman), ``Samples and surveys'' (Judith Tanur), ``The statistical approach to design of experiments'' (Ronald Snee and Lynne Hare), ``What is probability'' (Glenn Shafer), ``The reasoning of statistical inference'' (Lincoln Moses), ``Diagnostics'' (David Hoaglin), and ``Resistant and robust procedures'' (Thomas Hettmansperger and Simon Sheather).




Purdue University Department of Statistics