960.390-01, Fall 1999, M 7,8 (
Meeting dates: 10/25, 11/1, 11/8, 11/15
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Course Introduction:
• SAS software:
SAS is the abbreviation of Statistical Analysis Software. It is a major statistical software package developed by the SAS Institute Inc. The main and only purpose of the SAS software package is to read in, process, and output statistical information from data sets. SAS software is very powerful and it has the capability to analyze most types of statistical problems. In this course, we will learn SAS for Windows. The other types of SAS, for examples, SAS for Unix, SAS for Mac etc., are very similar and we will not cover them here.
• Object of the course:
This course is designed to teach students how to use the SAS software package for windows. The goal is to learn the basic data analysis techniques and gain experience on computing and analysis, so that the students can find their way around the many SAS reference manuals and learn more advanced topics on their own. The skills learned will be valuable for their future work with Statistics.
• Meeting place and lecture format:
The class will be held in ARC 116.
Each class will start with a short lecture, then time for programming exercises, a break, another short lecture followed by more time for programming exercises.
• Textbook and references:
Elliott, R. J. (1995). Learning SAS in the Computer Lab, Duxbury Press. (textbook -- required)
SAS Institute Inc. (1992). SAS Language and Procedures, Introduction - Version 6 (reference)
SAS Institute Inc. (1990). SAS/STAT User's Guide. Volume 1 & 2 - Version 6 (reference)
• Grading Policy:
The final grades will be based on the final project and the 5 in-class
assignments (Exercise 1-5), with the final project counts as 50% of the grade.
The in-class assignments are officially due at the beginning of the following
class, but you are encouraged to finish them in class. The final project is due
on 11/29 two weeks after the final class. No late assignments and final
projects will be accepted!
The instructor of this course wishes to thank Dr. Jesse Parelius for making his lecture notes available. Some of the examples and homework problems used on this course web page are from the lecture notes.
Questions or comments on this page should be sent to mxie_AT_rci