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Discovering Statistics Using SAS / Edition 1
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Discovering Statistics Using SAS / Edition 1

by Andy Field, Jeremy Miles
 

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ISBN-10: 1849200920

ISBN-13: 9781849200929

Pub. Date: 03/30/2010

Publisher: SAGE Publications

Hot on the heels of Andy Field's best-selling Discovering Statistics Using SPSS, Third Edition (2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS® using the most up-to-date commands and programming language available in latest release 9.2. As with its sister textbook, Discovering Statistics Using SAS®

Overview

Hot on the heels of Andy Field's best-selling Discovering Statistics Using SPSS, Third Edition (2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS® using the most up-to-date commands and programming language available in latest release 9.2. As with its sister textbook, Discovering Statistics Using SAS® takes the entry level student from first principles right the way through to advanced level statistical concepts all the while grounding knowledge through the use of SAS®. Its approach is to teach statistical concepts as well as the computational principles, commands and language of the SAS® software package in one textbook, and given this comprehensive coverage this textbook should be enthusiastically adopted on a wide variety of statistics courses.

Product Details

ISBN-13:
9781849200929
Publisher:
SAGE Publications
Publication date:
03/30/2010
Pages:
719
Sales rank:
890,475
Product dimensions:
7.60(w) x 10.40(h) x 1.70(d)

Table of Contents

Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Everything You Ever Wanted to Know about Statistics (Well, Sort of)
The SAS Environment
Exploring Data with Graphs
Exploring Assumptions
Correlation
Regression
Logistic Regression
Comparing Two Means
Comparing Several Means: ANOVA (GLM 1)
Analysis of Covariance, ANCOVA (GLM 2)
Factorial ANOVA (GLM 3)
Repeated-Measures Designs (GLM 4)
Mixed Design ANOVA (GLM 5)
Non-Parametric Tests
Multivariate Analysis of Variance (MANOVA)
Exploratory Factor Analysis
Categorical Data
Multilevel Linear Models

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