This is the 2nd edition of a "how-to" book on the practical application of a computer package called SAS (Statistical Analysis System) in the analysis of data sets rather than a theoretical discussion of statistics. The intended audience is the applied researcher in any one of a variety of fields: medicine, business, education, the social science, etc. The goal is to provide a comprehensive guide to the analysis and interpretation of data from a non-technical perspective.Chapters include Describing Data , Questionnaire design and analysis, correlation and regression, hypothesis testing, repeated measures design, multiple regression analysis.
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Applied Statistics and the SAS Programming Language is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation.
As the SAS(c) programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming language. Using current examples from business, medicine, education, and psychology, " Applied Statistics and the SAS Programming Language "is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Illustrated with SAS Graph(TM) output. Provides readers with ample models for developing programming skills. For anyone interested in learning more about applied statistics and the SAS programming language.
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