Includes index.

Contents: Looking at data: Looking at data-distributions: displaying distributions with graphs -- Describing distributions with numbers -- Density curves and normal distributions Looking at data-relationships: scatterplots -- Correlation -- Least-squares regression -- Cautions about correlation and regression -- The question of causation -- Producing data: First steps -- Design of experiments -- Sampling design -- Toward statistical inference -- Probability and inference: Probability: the study of randomness -- Probability models -- Random variables -- Means and variances of random variables -- General probability rules -- Sampling distribution: Sampling distributions for counts and proportions -- The sampling distribution of a sample mean -- Introduction to inference: Estimating with confidence -- Tests of significance -- Use and abuse of tests -- Power and inference as a decision -- Inference for distributions: Inference for the mean of a population -- Comparing two means -- Optional topics in comparing distributions -- Inference for proportions: Inference for a single proportion -- Comparing two proportions --Topics in inference: Analysis of two-way tables: Data analysis for two-way tables -- Inference for two-way tables -- Formulas and models for two-way tables -- Goodness fit -- Inference for regression: Simple linear regression -- More detail about simple linear regression --Multiple regression: Inference for multiple regression -- A case study -- One-way analysis of variance: Inference for one-way analysis of variance -- Comparing the means -- Two-way analysis of variance: The two-way ANOVA model -- Inference for two-way ANOVA -- Bootstrap methods and permutation tests: The bootstrap idea -- First steps in using the bootstrap -- How accurate is a bootstrap -- Bootstrap confidence intervals -- Significance testing using permutation tests -- Nonparametric tests: The Wilcoxon rank sum test -- The Wilcoxon signed rank test -- The Kruskal-Wallis test -- Logistic regression: The logistic regression model -- Inference for logistic regression -- Statistics for quality: control and capability: Process and statistical process control -- Using control charts -- Process capability indexes -- Control charts for sample proportions --