Includes bibliographical references (p. 605-606) and index.

I: Introduction to SAS and basic data analysis -- Why do you need to learn SAS for data analysis? -- Where do you start? -- How to prepare data for SAS processing -- From data to a SAS data set -- Enhancing the readability of SAS programs and output -- Verifying data -- Data transformation -- II: Statistical procedures -- Quick descriptive analysis -- Comprehensive descriptive analysis and normality test -- Graphing data -- Categorical data analysis -- t-Test of population means -- Analysis of variance -- Inferences about two or more population typical scores by ranks -- Examining trends in data -- Correlation -- When do you stop worrying and start loving regression? -- III: Advanced data and file management -- Selecting variables or observations from a SAS data set -- Repetitive and conditional data processing -- Structuring SAS data sets.