Data Analysis Using SAS Enterprise Guide

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Title: Data Analysis Using SAS Enterprise Guide
Description: This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
Authors: Lawrence S. Meyers, Glenn Gamst, A. J. Guarino
Resource Type: eBook.
Subjects: Mathematical statistics--Data processing, Social sciences--Statistical methods--Data processing
Categories: BUSINESS & ECONOMICS / Reference, BUSINESS & ECONOMICS / Economics / General
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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An: 304826
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PubType: eBook
PubTypeId: ebook
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  Data: Data Analysis Using SAS Enterprise Guide
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  Data: This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+statistics--Data+processing%22">Mathematical statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Social+sciences--Statistical+methods--Data+processing%22">Social sciences--Statistical methods--Data processing</searchLink>
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      – Code: 330.0285555
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Mathematical statistics--Data processing
        Type: general
      – SubjectFull: Social sciences--Statistical methods--Data processing
        Type: general
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      – TitleFull: Data Analysis Using SAS Enterprise Guide
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          Name:
            NameFull: Lawrence S. Meyers
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            NameFull: Glenn Gamst
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            NameFull: A. J. Guarino
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            NameFull: Lawrence S. Meyers
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            NameFull: Glenn Gamst
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2009
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521112680
            – Type: isbn-electronic
              Value: 9780511651670
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            – TitleFull: Data Analysis Using SAS Enterprise Guide
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