Introduction and Motivation.- Data and Statistics.- Statistics Concepts.- Graphs.- Introductory Inference.- One-Way Analysis of Variance, ANOVA.- Multiple Comparisons.- Linear Regression by Least Squares.- Multiple Regression - More Than One Predictor.- Multiple Regression - Dummy Variables and Contrasts.- Multiple Regression - Regression Diagnostics.- Two-Way Analysis of Variance.- Design of Experiments - Factorial Designs.- Design of Experiments - More Complex Designs.- Bivariate Statistics - Discrete Data.- Nonparametrics.- Logistic Regression.- Time Series Analysis.
This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data-showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.
This book provides a concise overview of modern statistical topics at an elementary level. Assuming an understanding of basic calculus and a previous statistics course, it will serve as a reference book for applied statisticians in many quantitative areas who are interested in statistical methods. Each chapter introduces concepts and terminology, develops the rationale for its methods, and gives examples supported by graphs and computer output. There is an emphasis on graphical displays, and computeroutput is given in both S-PLUS and SAS.