Includes index.

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