STATISTICS 705 SYLLABUS
Spring 1997

 
John M. Grego 		 		420J Leconte 
MW 5:30-6:45 		 		777-5110 
Office Hrs: MW 3:30-5:30 		grego@stat.sc.edu

Text Applied Linear Statistical Models (4th ed.) by John Neter, Michael Kutner, Christopher Nachtsheim and William Wasserman.

Attendance Though attendance is never a problem with graduate students, I would like to note that my policy corresponds to the policy stated in the student handbook: If you miss more than 10% of your classes (> 3 classes), the teacher may choose an appropriate penalty. I will deduct 2% from your final class average for each additional day that you miss after the third absence.

Grading Grades will be weighted in the following way:

Take-home exams (2) 100 points each

Homework 100 points

Project 100 points

Final Exam 100 points

Total 500 points

The project can be undertaken with a partner and will consist of several parts: proposal, rough draft, final draft and oral presentation. I use the project to enhance (or reinforce) several skills you will need in your future (or current) career: written and oral communication, practical problem-solving and teamwork. The oral presenation should provide useful practice for your eventual master's thesis colloquium.

Exams administered during the semester are take-home because this is a data-analytic class that uses computers extensively and it is difficult to test students adequately using an in-class format. On the other hand, exposure to in-class exams helps prepare students for the qualifying examination at the end of their first year (should they choose to enter the doctoral program). Therefore, I have chosen an in-class format for the final exam.

We will have some in-class activities that will not be graded per se, but nonetheless help in your development as a statistics professional. In addition, several of the questions at the end of each chapter are suitable for discussion questions. Be sure to consult our on-line page for discussion question dates; many of these discussion questions cannot be answered off the top of your head and you will need to prepare.

Computers I will maintain a class web page that will be used primarily to communicate homework assignments and solutions and otherwise update the syllabus. The URL for the class web page is .

I will use the computer/LCD projection system extensively in class for demonstrations and introduction of computer software. We will also convene occasionally in Room 127 or one of the workstation labs for group work on the computer. The group work will include data analysis and stochastic simulations.

We will be using two computer packages throughout the course. I tend to like to use the best available package for the job at hand and thus Minitab and SAS will be used appropriately; I will also use Splus for classroom presentations. Within this framework, I will always try to provide supplemental material on appropriate SAS code since familiarity with SAS is a course objective. Some interactive graphical statistics will use XLispstat (my own code) and JAVA when appropriate.

Date Class Activity Reading Assignment Graded Work

1/13 9.2,9.4,9.5

1/15 8 1/20

1/22 10 HW 1

1/27 Discussion: 8.1-8.5, 8.7, 9.1-9.3, 10.1-10.3, 10.5

1/29 11

2/3 12 HW 2

2/5 13 Project 1 Due

2/10 Project 1 Presentation

2/12 Discussion: 11.1,11.3, 11.6, 11.12, 12.3, 12.4, 13.1, 13.2 14 HW 3

2/17 Take Home Exam 1

2/19 16 2/24

2/26 Discussion: 14.1-14.3, 16.1, 16.2, 16.4, 16.6 17 HW 4 3/3

3/5 18 HW 5

3/17 24.1

3/19 26,27 3/24

3/26 Discussion 17.1-17.4, 17.7, 18.1-18.3 19

4/2 20 HW 6, Take Home Exam 2

4/7 21,22

4/9 Discussion: 24.1,24.2,27.1,27.2,19.2, 20.4, 21.1

4/14 23 HW 7

4/16 24.2-24.4

4/21 Project 2 Due

4/23 Discussion: 22.1,22.2,24.3 28

4/28 Project 2 Presentation

The final exam will be held on Monday, May 5 at 5:30 pm in our regular classroom.

 
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