http://www.wright.edu/~barbara.mann/stt647/homepage.html Tuesday and Thursday, 4:10-6:00 p.m., 202 MM General information: This course is the continuation of a two-course sequence. Building on the material in STT 646, this quarter we will focus on factorial experiments - both design and analysis. We will end up the quarter by discussing repeated measurements designs, which have many applications in Human Factors Engineering. As with STT 646, SAS will be used extensively throughout.
Instructor:Dr. Barbara Mann, 163 MM, 775-4204, barbara.mann@wright.edu.
Office Hours: Tuesday, 9:30 - 10:45; Tuesday and Thursday, 2-3. You can also ask questions via e-mail or make an appointment with me.
Required textbook: Applied LInear Statistical Models, by Neter, Kutner, Nachtsheim, and Wasserman, Fourth Edition, Irwin, 1996.
Optional: 1) Student Solutions Manual. 2) Applied Statistics and the SAS Programming Language, by Cody and Smith, Fourth Edition, Prentice Hall, 1991. (Note: This second paperback is a great little book for learning the basics of SAS without the pain of using the voluminous SAS manuals. I highly recommend it.)
Data Sets: All of the data sets from the textbook are available as plain text files in two places: 1) on the disk that comes with the textbook, and 2) on unixapps1 in the directory /public/dvoss/stt6467. To use the datasets with SAS on unixapps1, copy them into your root directory (or anyplace else you want them) and edit them into a SAS program. Note that the names are all in caps, so you'll have to deal with the unix distinction between caps and lower case. At least some of the data sets have line feeds and other odd characters in them that need to be edited out.
Syllabus:Distributed separately.
Homework: Read the textbook material and do the problems listed on the syllabus. You are always encouraged (and sometimes required) to use SAS for data analysis. I will give due dates for each set of problems and will post keys to each set on the Web on the due date. It will be your responsibility to check your work against the solutions and ask questions, preferably in class, about things you didn't get right or didn't understand. At the end of the term, I will ask you to grade yourself on homework with the grading criteria being how conscientious you were about doing the work in advance of the date problem keys are posted on the Web (40%), checking it (30%), and making sure that you understood the things you missed or weren't sure about (30%). This self-assigned homework grade will count for ¼ of your final grade.
Exams and Grades:There will be 2 midterms and a final, each worth ¼ of your final grade. The first midterm will cover Chapters 19, 20, 21, and 22, and the second will cover Chapters 23, 24, and 25. Approximate dates for each of these exams appear on the syllabus, but are subject to some adjustment. The final is non-comprehensive, covers Chapters 26, 27, 28, and 29, and is on Tuesday, March 13, 5:30 - 7:30 pm. A final average of at least 90% earns an A, 80% a B, 70% a C, and 60% a D.