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Learning SAS in the Computer Lab (Advanced (Cengage Learning)), by Rebecca J. Elliott, Christopher H. Morrell
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LEARNING SAS IN THE COMPUTER LAB, 3RD EDITION, gets readers up and running quickly with SAS. Explaining concepts and commands in clear steps, the authors provide SAS basics so students can successfully apply computing techniques in statistics and acquire an appreciation of data analysis. This brief, affordable manual also ensures that readers learn enough about programming with SAS to be able to find their way around the many SAS reference manuals that they will use in their professional activities.
- Sales Rank: #371739 in Books
- Published on: 2009-04-27
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 7.25" w x .50" l, 1.10 pounds
- Binding: Paperback
- 320 pages
Review
1. Introduction to Cognitive Psychology. 2. Cognition and the Brain: Basic Principles. 3. Perception. 4. Attention. 5. Short-Term and Working Memory. 6. Long-Term Memory: Basic Principles. 7. Everyday Memory and Memory Errors. 8. Knowledge. 9. Visual Imagery. 10. Language. 11. Problem Solving. 12. Reasoning and Decision Making.
About the Author
Rebecca Elliott has a Masters Degree in Statistics from Purdue University. She began her career with General Motors, supporting Current Product Manufacturing. She moved to Salt Lake City where she taught statistics at the University of Utah and developed the precursor to Learning SAS in the Computer Lab. She spent one year working for a survey research firm. She also provided statistical support through independent consulting. A native Hoosier, she has worked in Indianapolis for the past 10 years in the pharmaceutical industry supporting the manufacture of injectible drugs. Rebecca enjoys hiking in the desert, creating art with fabric, rooting for her team the WNBA Indiana Fever, traveling to sunny spots, and being on a spiritual path.
Born in Cape Town, South Africa, Christopher Morrell obtained a bachelor's degree at the University of Cape Town and a Ph.D. in statistics from the University of Wisconsin-Madison. Since then he has been a member of the Mathematical Sciences Department at Loyola College in Maryland, and teaches various undergraduate statistics courses. In addition, he was chair of the department from 2000 through 2006. Professor Morrell's research involves statistical models that are used to describe repeated observations from longitudinal studies of aging. His statistical work has appeared in Journal of the American Statistical Association, Biometrics, Technometrics, Journal of the Royal Statistical Society: Series A & C, The American Statistician, Statistics in Medicine, and Communications in Statistics. He is also a co-author (with colleagues from the National Institute on Aging) on research that has appeared in numerous medical journals.
Most helpful customer reviews
8 of 8 people found the following review helpful.
Very good book for beginners
By A Customer
I did not know a thing about SAS programming before I got hold of this book. This book is very simple to read. You learn the basics of SAS programming with the minimum of effort. It comes with a data disk that contains all the data sets you need to do the exercises in the book. This saves you the trouble of typing in the data. I strongly recommend this book.
7 of 7 people found the following review helpful.
Datasets all present now
By Robert Rogers
The problem with some datasets being not available has been taken care of by Duxbury. This is a good reference for those beginning students who need to use SAS and who want some guidance by example of how to implement selected statistical procedures using SAS.
1 of 1 people found the following review helpful.
Perfect for starting to learn SAS code
By I Teach Typing
I have been teaching SAS for 10 years and never found a satisfactory book ... until now. This book covers the core material for data manipulation and the most common statistical analysis at an ideal depth. The topics and code are presented in enough detail that the material is easy to follow and not so slogged down in detail that it will stop the novice. Beyond the usual material there is stand-out coverage of a couple intermediate level topics like macro language (for automating repeated tasks) and IML (for matrix algebra).
There are a couple things missing from the book. Proc SQL (used to manipulate data from a data base perspective) is totally absent as well as the features of modern SAS, like ODS graphics and proc sgplot (which are used to make photo ready graphics). The other weakness in the book is its obvious age. For better or worse, the code in this book should work on any version starting with SAS 6.12. The more modern versions of SAS (and SAS Enterprise Guide) have greatly improved usability and a lot of features that make graphics and reports look much better. You will want to supplement this book with a more up-to-date book like The Little SAS Book: A Primer, Fourth Edition or The Little SAS Book for Enterprise Guide 4.1 to get hints at the new features.
Dispite the weaknesses, if you are a novice this is a great place to start to learn SAS code.
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