Elementary Statistics Using SAS
"This book does an excellent job of addressing three major issues where other books of this type have failed:-Lack of statistical methods background by the SAS user-Lack of SAS programming ability by the data analyst  <p. -The large number of environments in which the SAS statistical software is usedAt the beginning of each section, the interpretation of the statistical methods used in the section is described. These descriptions all but supplant the need for an accompanying introductory statistical textbook in order to apply and understand the results of the data analysis methods used in the book.The book does not assume a previous knowledge of SAS programming. Early chapters in the book give a good summary of the basics of SAS DATA step programming, the creation and manipulation of SAS data sets, and specifics on the differences in inputs and outputs the data analyst will see in the different SAS operating environments (batch, noninteractive, interactive line, and display manager). The book also gives a great summary of how to import data from various sources and formats into SAS.The author realizes the broad spectrum of environments, ranging from industry environments to academic and non-profit organizations, where data analyses using SAS are performed. For example, the book covers the use of ODS graphics, the newest innovation from SAS in the output of graphical information, but still covers the use of line printer plots for SAS installations where the graphics products are not available.In general, the book covers all the basic statistical methods that would be used in routine data analyses. References in the back of the book are categorized by statistical topic. This is helpful if the user seeks more specific statistical information on a topic.I would rate this book as the best attempt so far to provide a stand-alone text that provides enough statistical background to educate the reader in the application (and misapplication) of statistical methods to data while providing enough statistical programming instruction to allow the reader to perform basic data analyses in a number of programming environments." --Dennis W. King, PhD, President and CEO, STATKING Consulting, Inc."In this book the author first introduces you to SAS software, then shows how to use SAS to perform basic statistical analysis. The book is well written and organized. General topics include how to use the SAS windowing environment to write and submit SAS programs; how to create SAS data sets and modify the variables that they contain; basic descriptive statistics (measures of central tendency and variability, frequency tables, and graphs); correlation and regression, performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots); t tests (single-sample, independent and paired samples); analysis of variance (ANOVA), both one-way and factorial; and the chi-square test of independence. Even if you are new to statistics and computers, you soon will be recording research data, writing SAS programs, and interpreting the results." --AbouEl-Makarim Aboueissa, Assistant Professor of Statistics, Department of Mathematics and Statistics,University of Southern Maine