1.1 Data.- 1.2 Displaying Distributions with Graphs.- 1.3 Describing Distributions with Numbers.- 1.4 Density Curves and Normal Distributions.- 2.1 Relationships.- 2.2 Scatterplots.- 2.3 Correlation.- 2.4 Least-Squares Regression.- 2.5 Cautions about Correlation and Regression.- <2.6 Data Analysis for Two-Way Tables.- 2.7 The Question of Causation.- 3.1 Sources of Data.- 3.2 Design of Experiments.- 3.3 Sampling Design.- 3.4 Ethics.- 4.1 Randomness.- 4.2 Probability Models.- 4.3 Random Variables.- 4.4 Means and Variances of Random Variables.- 4.5 General Probability Rules.- 5.1 Toward Statistical Inference.- 5.2 The Sampling Distribution of a Sample Mean.- 5.3 Sampling Distributions for Counts and Proportions.- 6.1 Estimating with Confidence.- 6.2 Tests of Significance.- 6.3 Use and Abuse of Tests.- 6.4 Power and Inference as a Decision Power.- 7.1 Inference for the Mean of a Population.- 7.2 Comparing Two Means.- 7.3 Additional Topics on Inference.- 8.1 Inference for a Single Proportion.- 8.2 Comparing Two Proportions.- 9.1 Inference for Two-Way Tables.- 10.1 Simple Linear Regression.- 10.2 More Detail about Simple Linear Regression.- 11.1 Inference for Multiple Regression.- 11.2 A Case Study.- 12.1 Inference for One-Way Analysis of Variance.- 12.2 Comparing the Means.- 13.1 The Two-Way ANOVA Model.- 14.1 The Logistic Regression Model.- 14.2 Inference for Logistic Regression.- 15.1 The Wilcoxon Rank Sum Test.- 15.2 The Wilcoxon Signed Rank Test.- 15.3 The Kruskal-Wallis Test.- 16.1 The Bootstrap Idea.- 16.2 First Steps in Using the Bootstrap.- 16.3 How Accurate Is a Bootstrap Distribution?.- 16.4 Bootstrap Confidence Intervals.- 16.5 Significance Testing Using Permutation Tests.- 17.1 Processes and Statistical Process Control.- 17.2 Using Control Charts.- 17.3 Process Capability Indexes.- 17.4 Control Charts for Sample Proportions.- sakriti opis