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.
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