Book Description

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.