About the Book · Greater integration of statistical software. Software output shown now uses R and Stata instead of only SAS and SPSS, although much output has a generic appearance. The text appendix provides instructions about basic use of these software packages. · New examples and exercises ask students to use applets to help learn the fundamental concepts of sampling distributions, confidence intervals, and significance tests. The text also now relies more on applets for finding tail probabilities from distributions such as the normal, t, and chi-squared. The excellent applets cited, can be found at www.pearsonglobaleditions.com/Agresti. · ANOVA coverage has been reorganized to put more emphasis on using regression models with dummy variables to handle categorical explanatory variables. · Companion website (found at www.pearsonglobaleditions.com/Agresti) now features the data sets analyzed in the text in generic form to copy for input into statistical software. Special directories there also have data files in Stata format and in SPSS format so they are ready for immediate use with those packages. Answers to Select Odd-Numbered Exercises are available at the companion website. Content Updates · Chapter 5 has a new section that introduces maximum likelihood estimation and the bootstrap method. · Chapter 13 on regression modeling now has a new section using case studies to illustrate how research studies commonly use regression with both types of explanatory variables. The chapter also has a new section introducing linear mixed models. · Chapter 14 contains a new section on robust regression covering standard errors and nonparametric regression.