Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- I Introducing SAS Enterprise Guide
- II Performing Analyses and Viewing Output
- III Manipulating Data
- IV Describing Data
- V Score Distribution Assumptions
- VI Correlation and Prediction
- VII Comparing Means: The t Test
- VIII Comparing Means: ANOVA
- IX Nonparametric Procedures
- X Advanced ANOVA Techniques
- XI Analysis of Structure
- References
- Author Index
- Subject Index
Preface
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- Acknowledgments
- I Introducing SAS Enterprise Guide
- II Performing Analyses and Viewing Output
- III Manipulating Data
- IV Describing Data
- V Score Distribution Assumptions
- VI Correlation and Prediction
- VII Comparing Means: The t Test
- VIII Comparing Means: ANOVA
- IX Nonparametric Procedures
- X Advanced ANOVA Techniques
- XI Analysis of Structure
- References
- Author Index
- Subject Index
Summary
The present book, Data Analysis Using SAS Enterprise Guide, provides readers with an overview of Enterprise Guide, the newest point-and-click interface from SAS. SAS Enterprise Guide is a graphical user (point-and-click) interface to the main SAS application, having relatively recently replaced the Analyst interface, which itself had replaced the original Assist interface. Enterprise Guide makes it easier than ever to access many SAS statistical analyses without learning to write the SAS code underlying its procedures.
We have written this book for readers who have little or no knowledge of SAS Enterprise Guide but who may wish to employ it for statistical analysis. Some of these readers will be students in an introductory statistics or data-analysis course; other readers will have taken an introductory statistics course and possibly a research methods course at some time in their past; and still other readers may have had several statistics and research design courses as a part of their background. We have therefore included in this book a relatively wide range of statistical procedures to meet the needs of various readers. There are chapters devoted to the more basic procedures such as descriptive statistics, correlation and simple linear regression, t tests, and one-way chi-square analysis. In addition, we have also included statistical procedures at a somewhat higher level; these include data transformations and other types of computations, multiple linear regression, logistic regression, and some analysis of variance designs.
- Type
- Chapter
- Information
- Data Analysis Using SAS Enterprise Guide , pp. xv - xviiiPublisher: Cambridge University PressPrint publication year: 2009