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Three statistics books for introductory SAS students

By Michele Reister on SAS Learning Post January 13, 2012

Recently, this question was asked of our SAS training instructors:

For a SAS Programming 1: Essentials student, what would be a good book recommendation for a Statistics book?

Here are the recommendations (in no particular order):

Step-by-Step Basic Statistics Using SAS: Student Guide and Exercises
By: Larry Hatcher

A Handbook of Statistical Analyses Using SAS
By: Geoff Der and Brian S. Everitt

SAS Statistics by Example
By: Ron Cody

Do you have a book recommendation? Add to the list by leaving us a comment below.

About Author

Michele Reister
Marketing Specialist

Michele Reister has worked in the Education Division at SAS since 2004. During that time she has played many roles including marketing training courses, developing product bundles, managing conferences and overseeing the division’s discount programs. Currently, she is responsible for the division’s social media strategy. Michele holds a BS in Management and Information Technology from Daniel Webster College and an MBA from University of North Carolina at Chapel Hill. Michele is a perpetual student herself and is constantly looking for better ways to serve SAS’ user population. When she’s not expanding her knowledge of marketing, Michele enjoys group fitness classes, cooking, volunteering, reading and chasing after her two children.

2 Comments

Tricia Aanderud on January 14, 2012 11:58 am

These books present statistics in a more lighthearted fashion:

A classic:
Cartoon Guide to Statistics, Larry Gonick (Author), Woollcott Smith (Author)

And here's a series that are full of fun - so you don't realize you are learning.
Head First Statistics, Dawn Griffiths (Author)

Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions
Michael Milton (Author)
Chris Hemedinger on January 13, 2012 4:26 pm

Geoff Der and Brian S. Everitt have an edition that applies to SAS Enterprise Guide, if that's where your working and you want to maximize your stat learning while minimizing the programming learning curve.