Richard D. De Veaux

Paul F. Velleman

David E. Bock

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.

Intro Stats

Graphical, Numerical + Algebraic + Graphing Calculator

Precalculus

Richard De Veaux, Paul Velleman, and David Bock wrote Intro Stats with the goal that you have as much fun reading it as they did in writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages readers from the first page. The authors focus on statistical thinking throughout the text and rely on technology for calculations. As a result, students can focus on developing their conceptual understanding. Innovative Think/Show/Tell examples provide a problem-solving framework and, more importantly, a way to think through any statistics problem and present their results. New to the Fourth Edition is a streamlined presentation that keeps students focused on what's most important, while including out helpful features. An updated organization divides chapters into sections, with specific learning objectives to keep students on track. A detailed table of contents assists with navigation through this new layout. Single-concept exercises complement the existing mid- to hard-level exercises for basic skill development.

Richard D. De Veaux

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