This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression
and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors
or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level
s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students
are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing.
Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system
adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for
data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important
features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics
support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.