Statistics 512 – Spring, 2003

Experimental Design and Data Analysis for Researchers II

 

Instructor Information:

 

Lecturer:            Dr. Phillip Chapman

Office:             224 Statistics

Telephone:            (970) 491-7263

FAX:               (970) 491-7895

E-mail:            pchapman@stat.colostate.edu

Grader:            Rongning (Ronny) Wu, wu@stat.colostate.edu

                        302 Statistics, (970) 491-5702

 

Class Information:

 

Location:            A206 Clark

Lecture:            Tues.            1:10-2:25 Tuesday and Thursday

Recitation:            Tues.            2:26-2:50 Tuesday and Thursday

Home page:            www.stat.colostate.edu/~phil/st512/ST512home.htm

Office Hours:            

                                    Tuesdays                     3:10-4:00            Chapman

                                    Wednesdays                10:00-10:50            Chapman

Thursdays                        3:10-4:00            Chapman
Fridays                        TBA                        Wu

Or by appointment.  Students are encouraged to send questions by e-mail.

 

Prerequisite:       ST511 or consent of instructor.

 

Objectives:

 

This course is a continuation of ST511.  Topics this term will be Multiple Regression and Design of Experiments.  Emphasis throughout will be on the principles of design and inference, rather than the mechanics of the computations.  Data analysis will be performed using the computer package SAS, except when hand calculation appears instructive.  The class presentation will follow approximately the order of the chapters in the text.  The material in the text will be supplemented by additional topics and computer package instruction.

 

Course Materials:

 

Required Text:            Ott, R. Lyman and Longnecker, Michael, An Introduction to Statistical methods and Data Analysis, Fifith Edition, PWS-Kent Publishing Company, 2001.

Required Course Notes:            Course notes will be posted on WebCT in Adobe "pdf" format.  Students are required to print out a copy of the notes prior to class and bring them to class.

 

Computing:

 

1.                   SAS is available on PC’s (Windows) in the Statistics side (Room 206 Weber) of the new College of Natural Science computer classroom.  Students will receive a class account and password (one account for the entire class) to use these computers.  However, students are encouraged to use SAS on their department or home computers.  Copies of SAS can be leased through the Software Cellar in 22 Weber for about $35 until August 31, 2003.

2.                   Course resources will be administered by a program called WebCT, which can be accessed through any computer connected to the World Wide Web and running Netscape or Internet Explorer.  Bookmark the following address:
http://www.webct.colostate.edu
Click on the “Log onto my WebCT” button at that address.  A small window will come up in which you type your personal id name and password.  This will bring up a personal WebCT home screen from which you can access all your classes that use WebCT. 

3.                   Adobe Acrobat Reader will be required to download and print course notes and examples (Acrobat Reader can be obtained free from http://www.adobe.com.).

 

Homework:

 

Homework will be assigned weekly (except during test weeks) and due in class on Thursday of the following week or in the instructor’s mailbox in 200 Statistics until 4:00 p.m. Friday.  Homework should be organized so that the grader can find your answers without searching through pages of computer output.  Cut and paste computer output into your assignment, when appropriate.  You are encouraged to work together on homework, but the work turned in should be your own.

 

Grading:

 

                                                % of grade            Comments – (all dates are tentative)

Weekly homework                    20%                 Lowest grade dropped

Two 2-hour exams               25% each     Feb 20 and April 3

Final exam                                30%                 Monday, May 12 (3:40 a.m.-5:40 a.m.)

                                                                       

Course Policies:

 

1.      Homework/exam grading disputes: See the grader for homework grading problems and your lecturer for exam grading problems.

2.      Late homework: No credit unless prior permission.

3.        Exam conflicts: Prior permission and arrangement only.