SAS Statistics by Example Download

SAS Statistics by Example by Ron Cody (Author). In SAS Statistics by Instance, Ron Cody affords up a cookbook strategy for doing statistics with SAS. Structured particularly round the most generally used statistical tasks or methods–for instance, comparing two means, ANOVA, and regression–this e book offers a simple-to-follow, how-to approach to statistical analysis not found in different books.

For every statistical activity, Cody consists of heavily annotated examples utilizing ODS Statistical Graphics procedures similar to SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Additionally, you’ll learn how to test the assumptions for all relevant statistical tests. Major matters featured embody descriptive statistics, one- and two-pattern checks, ANOVA, correlation, linear and multiple regression, evaluation of categorical data, logistic regression, nonparametric strategies, and power and pattern size.

This isn’t an ebook that teaches statistics. Fairly, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and wish to use SAS to do their analyses.

This can be a great e book, containing many examples. Each section is nicely thought out with examples and statistical graphics where appropriate.

It states that it does not train statistics, however in many ways it does. There are various SAS books out there, however that is certainly one of the best. Very effectively written.

A good way to learn by example. Statistics (an application) centered versus programming focused. I downloaded samples of many SAS books onto my Kindle and went with this one.

SAS Statistics by Example

Ron Cody (Author)

274 pages

SAS Publishing; 1 edition (August 31, 2011)

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