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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition - Tapa dura

 
9781642952926: A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

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Sinopsis

Updated for SAS 9, A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition, is an easy-to-understand introduction to SAS as well as to univariate and multivariate statistics. Clear explanations and simple language guide you through the research terminology, data input, data manipulation, and types of statistical analysis that are most commonly used in the social and behavioral sciences. Providing practice data inspired by actual studies, this book teaches you how to choose the right statistic, understand the assumptions underlying the procedure, prepare the SAS program for the analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association. Step by step, authors Norm O'Rourke, Larry Hatcher, and Edward Stepanski demonstrate how to perform the following types of analysis: simple descriptive statistics, measures of bivariate association, t tests for independent samples and paired samples, ANOVA and MANOVA, multiple regression, principal component analysis, and assessing scale reliability with coefficient alpha. This text is ideally suited to students who are beginning their study of data analysis, and to professors and researchers who want a handy reference on their bookshelf.

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  • EditorialSAS Institute
  • Año de publicación2005
  • ISBN 10 1642952923
  • ISBN 13 9781642952926
  • EncuadernaciónTapa dura
  • IdiomaInglés
  • Número de edición2
  • Número de páginas548
  • Contacto del fabricanteno disponible

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Otras ediciones populares con el mismo título

9781590474174: A Step-By-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

Edición Destacada

ISBN 10:  1590474171 ISBN 13:  9781590474174
Editorial: SAS Institute, 2005
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