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Data Analysis Using SAS Enterprise Guide

Data Analysis Using SAS Enterprise Guide

Data Analysis Using SAS Enterprise Guide
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Data Analysis Using SAS Enterprise Guide Paperback - 2009 - 1st Edition

by Meyers, Lawrence S.; Gamst, Glenn; Guarino, A. J

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Description

Cambridge University Press, 2009. First Edition. Paperback. Like New. 9x7x0. In nearly new condition: bright, crisp and clean with no creases, strong joints and sharp corners. Looks and feels unread. Just a small publisher 'damaged' stamp at the prelims. Nonetheless not showing any defects. Thus a very nice copy, firm, square and tight, now offered for sale at a very reasonable price.
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Details

  • Title Data Analysis Using SAS Enterprise Guide
  • Author Meyers, Lawrence S.; Gamst, Glenn; Guarino, A. J
  • Binding Paperback
  • Edition number 1st
  • Edition First Edition
  • Condition New
  • Pages 398
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Cambridge
  • Publication date 2009
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # 115932
  • ISBN 9780521130073 / 0521130077
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 9.1 x 7 x 0.9 in (23.11 x 17.78 x 2.29 cm)
  • Size 9x7x0
  • Category Computers - General Information
  • Library of Congress subjects Mathematical statistics - Data processing, Social sciences - Statistical methods - Data
  • Library of Congress Catalogue Number 2009012822
  • Dewey Decimal Code 330.028
  • Quantity available 1

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Reader reviews for Data Analysis Using SAS Enterprise Guide

From the publisher

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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