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Sas Publishing, Sas Enterprise Guide Anova, Regression, And Logistic Regression Course Notes, 2005.pdf

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Sas Publishing, Sas Enterprise Guide Anova, Regression, And Logistic Regression Course Notes, 2005.pdf

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Sas Publishing, Sas Enterprise Guide Anova, Regression, And Logistic Regression Course Notes, 2005.pdf

文档介绍

文档介绍:SAS® Enterprise Guide®:
ANOVA, Regression, and
Logistic Regression


Course Notes
For Your Information ii
SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression Course Notes was developed by
Melinda Thielbar and Catherine Truxillo. Additional contributions were made by Peggy Cavalieri, Paul
Marovich, Mike Patetta, Jill Tao, and Susan Walsh. Editing and production support was provided by the
Curriculum Development and Support Department.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of
SAS Institute Inc. in the USA and other countries. ® indicates USA registration.
Other brand and product names are trademarks of their panies.
SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression Course Notes
Copyright © 2005 by SAS Institute Inc., Cary, NC 27513, USA. All rights reserved. Printed in the
United States of America. No part of this publication may be reproduced, stored in a retrieval system,
or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without
the prior written permission of the publisher, SAS Institute Inc.
Book code 60416, course code EGBS, prepared date 08Feb05.
For Your Information iii
Table of Contents
Course Description................................................................................................................. vi
Prerequisites.......................................................................................................................... vii
General Conventions............................................................................................................. viii
Chapter 1 Introduction to Statistics.................................................................... 1-1
Fundamental Statistical Concepts................................................................................. 1-3
Examining Distributions ...............