The short, teachable chapters and approachable, colloquial style of Intro Stats has made it the most successful first edition Statistics text. Now a hallmark feature, Intro Stats teaches readers 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.
Exploring and Understanding Data: Stats Starts Here; Data; Displaying Categorical Data; Displaying Quantitative Data; Describing Distributions Numerically; The Standard Deviation as a Ruler and the Normal Model. Exploring Relationships between Variables: Scatterplots, Association, and Correlation; Linear Regression; Regression Wisdom; Re-Expressing Data: It's easier than you think. Gathering Data: Understanding Randomness; Sample Surveys; Experiments. Randomness and Probability: From Randomness to Probability (LLN); Probability Rules!; Random Variables; Probability Models (Binomial). From the Data at Hand to the World at Large: Sampling Distribution Models (CLT); Confidence Intervals for Proportions; Testing Hypotheses about Proportions; More About Tests; Comparing Two Proportions. Learning About the World: Inferences About Means; Comparing Means; Paired Samples and Blocks. Inference when Variables are Related: Comparing Counts (Chi Square); Inferences for Regression; Analysis of Variance; Multiple Regression.
For all readers interested in introductory statistics.
Richard De Veaux holds degrees in Civil Engineering (B.S.E. Princeton), Mathematics (A.B.Princeton), Physical Education (M.A. Stanford; Specialization in Dance) and Statistics (Ph.D., Stanford). He has taught at the Wharton School, the Princeton University School of Engineering, and, since 1994, has been a professor in the Mathematics and Statistics Department of Williams College. He has won numerous teaching awards including a "Lifetime Award for Dedication and Excellence in Teaching" from the Engineering Council at Princeton. He has won both the Wilcoxon and Shewell awards (twice) from the American Society for Quality and was elected fellow of the American Statistical Association in 1998. Dick was Program Chair for the 2001 Joint Statistics Meeting in Atlanta (Aug. 2001). Dick has been a consultant for nearly 20 years for such companies as Hewlett-Packard, Alcoa, First USA Bank, Dupont, Pillsbury, Rohm and Haas, General Electric, and Chemical Bank.
Paul Velleman has taught statistics at Cornell University for 22 years. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees from Princeton University in Statistics, where he studied with John Tukey. He is a Fellow of the American Statistical Association, past Chair of its Statistical Computing Section, and a Fellow of the American Association for the Advancement of Science. He has been awarded the EDUCOM medal for innovative uses of computers in teaching statistics. He is the co-author of the book ABC's of Exploratory Data Analysis. He is the author and designer of the multimedia statistics CD-ROM, ActivStats, and the developer of the award-winning statistics program, Data Desk, and the internet site, Data And Story Library (DASL), which provides datasets for teaching statistics.
