A unified and in-depth coverage of the statistical computer package SAS and its statistical applications. Topics include the language of SAS, data formatting, creating and storing SAS data sets, file manipulations, macro procedure, and graphics. Also included are procedures for statistical techniques selected from analysis of variance, regression, factor analysis, scoring, and categorical data analysis. Several large data sets will be used as case studies emphasizing hands-on experience with SAS for Windows. Laboratory course.

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