Basic Statistics Using SAS Enterprise Guide : A Primer

Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided for each analysis. Exercises at the end of each chapter help you consolidate what has been learned. Topics include: Analysis of variance Dealing with categorical data Logistic regression Regression Significance tests Survival analysis And more! This text is ideal for those who want to use SAS to analyze their data, but do not have the time to undertake the considerable amount of learning involved in the programming approach.

now It's Easy To Perform Many Of The Most Common Statistical Techniques When You Use The Sas Enterprise Guide Point-and-click Interface To Access The Power Of Sas. Emphasizing The Practical Aspects Of The Analysis, Geoff Der And Brian S. Everitt's Basic Statistics Using Sas Enterprise Guide: A Primer Shows You How To Conduct A Wide Range Of Statistical Analyses Without Any Sas Programming Required. One Or More Real Data Sets, A Brief Introduction Of The Technique, And A Clear Explanation Of The Sas Enterprise Guide Output Are Provided For Each Analysis. Exercises At The End Of Each Chapter Help You Consolidate What Has Been Learned.

topics Include:

analysis Of Variance
dealing With Categorical Data
logistic Regression
regression
significance Tests
survival Analysis
and More!

this Text Is Ideal For Those Who Want To Use Sas To Analyze Their Data, But Do Not Have The Time To Undertake The Considerable Amount Of Learning Involved In The Programming Approach.

This guide is an excellent introduction to SAS Enterprise Guide for users new to Enterprise Guide, new to statistics, or both. A user stepping through all the examples in this book would end up being exposed to many different types of data and a variety of commonly-used statistical techniques, from t-tests and Fisher's Exact Test to logistic regression and survival analysis. Throughout, the emphasis is on good statistical practices - looking at the data, thinking about what questions to ask about the data, and then using statistical methods to address those questions. The examples provide excellent illustrations of how to use Enterprise Guide to accomplish these tasks at just the right level of detail, and it is obvious from the context how to extend the examples to more complex situations. This book is recommended for anyone who wants to learn the basics of SAS Enterprise Guide for statistical analysis This example-rich guide shows you how to conduct a wide range of statistical analyses with no SAS programming required. For each analysis, one or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided.