SAS Statistics by Example

In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques–for example, comparing two means, ANOVA, and regression–this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books.

For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured are correlation, inferential statistics, descriptive statistics, categorical data analysis, simple linear regression, comparing means, multiple regression, logistic regression, non-parametric tests, and power and sample size.

This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses.

Table of Contents

Chapter 1 An Introduction to SAS
Chapter 2 Descriptive Statistics – Continuous Variables
Chapter 3 Descriptive Statistics – Categorical Variables
Chapter 4 Descriptive Statistics – Bivariate Associations
Chapter 5 Inferential Statistics – One-Sample Tests
Chapter 6 Inferential Statistics – Two-Sample Tests
Chapter 7 Inferential Statistics – Comparing More than Two Means
Chapter 8 Correlation and Regression
Chapter 9 Multiple Regression
Chapter 10 Categorical Data
Chapter 11 Binary Logistic Regression
Chapter 12 Nonparametric Tests
Chapter 13 Power and Sample Size
Chapter 14 Selecting Random Samples