Students completing this course should:
Topics:Students will be using SAS 9. Students should be competent in using SAS prior to taking this course. The following skills are expected to be known:
Office Hours: T 4:30-5:30PM & 9:00-10:00PM , W 2:30-4:30PM, R 10-11AM
Class Time: Tues 5:45 – 9:00pm
Applied Linear Statistical Models (5th ed) Neter, Kutner, Nachtsheim, and Wasserman (WHITE BOOK NOT BLUE).
*An Introduction to Generalized Linear Models (2nd ed) Annette Dobson (OPTIONAL)
*SAS System for Mixed Models (2nd ed), Littell, Milliken, Stroup,Wolfinger, Schabenberger (OPTIONAL)
Students completing this course should
Students will be using SAS 9. Students should be competent in using SAS prior to taking this course. The following skills are expected to be known:
Two in class tests at 25% each (10/9 & 11/13) and the final exam at 25%, homework at 10%, individual project at 15%. Test and Exam will include computer portion as well as pen/pencil portion. Available materials will be discussed the week prior to the test. Take Home final exam will be provided prior to the Thanksgiving Holiday and will be due prior by the last Thursday of classes.
Attendance: Attendance is important and expected. Absence from a test is acceptable for illness/emergency/official University business. Please contact me ASAP by e-mail or phone. Written verification may be required.
Dishonesty: Any instance of dishonesty will be dealt with according to University policy.
Disabilities: We at West Chester University wish to make accommodations for persons with disabilities. Please make your needs known to me and to the Office of Services for Students with Disabilities (3217). Sufficient notice is needed in order to make accommodations possible.
Withdrawl: 3rd week of October.
Topics: We will follow the Neter et al. book Chapter 15-25, 27 then followed by Chapter 14 (optionally 13).
All Homework will be assigned at the end of each class and from the textbook. Homework is to be turned in. Homework to be turned in must include SAS code and SAS output. I recommend you cut and past your syntax in word and use ODS to include the relavant output into WORD. Your summary must be complete and easily interpreted.
At the end of most classes, a real life setting data set will be assigned to be analyzed individually and discussed the last portion of class or left to be done on your own time, with Q & A at your discretion.
The project is worth 10% of your grade. Half of this will be based on a written report, the other half on an oral presentation. See below for the schedule of oral presentations.
The written report should be 5 pages orless. It should include the following sections:
Note that there are 15 minutes between the start of each presentation. This means that you will have 10 or at most 12 minutes for your presentation. All presentations will be done in PowerPoint.
Presentations are scheduled for during the Final Exam Period.
This class will be extremely fast paced. It is important that the students review the respective chapters in the text book prior to class. This class is 4 credits; therefore, the class may run over the 8:30 P.M. end time. Class time will be split in the Classroom and the computer lab. Do not fall behind in this course. This course coupled with the Categorical Data Analysis course will be extremely challenging, but mastery of these two topics will be tools you will use throughout your careers as statisticians.
Let’s have fun and get to work.
The material presented here is from a collection of sources. Some from the web, textbook, or hard-copy handouts. The collection of these materials I hope bring the material in a complete and concise format.