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Essential Statistics Using SAS University Edition

Essential Statistics Using SAS University Edition
  

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply... read full description below.

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ISBN 9781642953206
Barcode 9781642953206
Published 28 June 2019 by SAS Institute
Format Hardback
Alternate Format(s) View All (1 other possible title(s) available)
Author(s) By Der, Geoff
By Everitt, Brian S.
Availability Internationally sourced; ships 6-12 working days

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Full details for this title

ISBN-13 9781642953206
ISBN-10 1642953202
Stock Available
Status Internationally sourced; ships 6-12 working days
Publisher SAS Institute
Imprint SAS Institute
Publication Date 28 June 2019
Publication Country
Format Hardback
Author(s) By Der, Geoff
By Everitt, Brian S.
Category Probability & Statistics
Mathematical & Statistical Software
Number of Pages 246
Dimensions Width: 191mm
Height: 235mm
Spine: 16mm
Weight 640g
Interest Age General Audience
Reading Age General Audience
Library of Congress Statistics - Data processing, Mathematical statistics - Data processing, SAS (Computer program language)
NBS Text Mathematics
ONIX Text General/trade
Dewey Code 519.50285536
Catalogue Code Not specified

Description of this Book

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

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