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Quick Start to Data Analysis with SAS, by Frank DiIorio, Kenneth A. Hardy
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This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for research methods or statistics courses using the SAS System to manage and analyze data in departments of psychology, education, sociology, political science, public administration, statistics, other sciences, and engineering.
- Sales Rank: #1751156 in Books
- Published on: 1995-09-12
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 7.00" w x .50" l, 1.04 pounds
- Binding: Paperback
- 301 pages
Review
1. Introduction 2. SAS Programming Concepts 3. Preparing the Data for Analysis 4. Introduction to Data Step Programming 5. Combining Datasets 6. Introduction to Procedures 7. A Statistical Roadmap for the SAS System 8. Statistics for Single Variables 9. Statistics for Relationships with Continuous Dependent Variables 10. Statistics for Relationships with Categorical Dependent Variables 11. More About SAS Programming 12. PROCs That Create Datasets 13. Recoding and Labeling with PROC FORMAT 14. Working with Character Data 15. Putting It All Together APPENDIXES: A. Using the Display Manager / B. Resources / C. Common Problems (and Solutions) / Index
Most helpful customer reviews
12 of 14 people found the following review helpful.
Must be good, I've had two mysteriously disappear from work!
By Kyle Novak (novakk@westat.com)
Excellent for beginners, but I suggest a more detailed SAS book as a supplement for the more in-depth details.
22 of 23 people found the following review helpful.
Easy to read for a SAS book. Good reference for the basics.
By A Customer
The simple stuff that is difficult to find in the
SAS manuals is right there with a quick example.
I almost always try to find my answers here first,
and I have pretty good luck. The SAS institute
should look over books like this befor releasing
their next round of manuals.
1 of 1 people found the following review helpful.
Missing the basics
By A. Kershenbaum
I was disappointed with this book as a reference. It included far too few examples and dwelled on fringe capabilities of SAS without presenting the basics.
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