Elementary Statistics Using SAS

Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The...

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Detalles Bibliográficos
Autor Corporativo: SAS Institute (-)
Otros Autores: Schlotzhauer, Sandra Author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] SAS Publishing 2009
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627889106719
Descripción
Sumario:Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. Statistical methods covered include two-sample t -tests, paired-difference t -tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis . This book is part of the SAS Press program.
Notas:Bibliographic Level Mode of Issuance: Monograph
Descripción Física:1 online resource (viii, 549 p.) : ill
Bibliografía:Includes bibliographical references (p. [505]-509) and index.
ISBN:9781607644262