UNIVERSITY OF DELAWARE
COLLEGE
OF AGRICULTURE & NATURAL RESOURCES

DEPARTMENT OF APPLIED ECONOMICS AND STATISTICS
STAT 615 Design and Analysis of Experiments

Fall 2013

 

Go to John Pesek's Home website

Go to SAS 9.3 Documentation Index

Go to Base SAS (9.3) Documentation

Go to SAS/STAT (9.3) Documentation

Go to SAS/GRAPH (9.3) Documentation

 

 

Instructor: John D. Pesek, Jr.

227 Townsend Hall

Phone: (302)831-1319

E-mail: pesek@udel.edu

Web-page: http://www.udel.edu/pesek/stat615/index.html

 

Time and Place: Wednesdays 7:00-8:15PM Thursdays 6:00-7:15pm in
009 Townsend Hall



Office Hours: By appointment

 

Texts: Required: Design and Analysis of Experiments. Angela Dean and Daniel Voss. Springer. 1999.

Optional: The Little SAS Book: A Primer, 5th Edition, by Lora A Delwiche and Susan J. Slaughter, SAS Institute Inc., 2012.

Objectives: The purpose of this course is to learn how to both design and analyze experiments.

 

UNIVERSITY OF DELAWARE GENERAL EDUCATION GOALS: The objectives of this course align with the following General Education Goals (bolded):

 

Attain effective skills in (a) oral and (b) written communication, (c) quantitative reasoning, and (d) the use of information technology By doing homework assignments, supportive reading and lab exercises. These involve analysis and computation, both by hand and using SAS software.

Learn to think critically to solve problems By doing homework assignments and class exercises. These involve analysis and computation, both by hand and using SAS software.

Be able to work and learn both independently and
collaboratively
By doing independent homework assignments and class exercises in collaboration with a partner. These involve analysis and computation, both by hand and using SAS software.

Course Requirements:

 

1.    In case class is cancelled because of bad weather or other contingencies, make up classes may be necessary. It may also be necessary to reschedule exams.

2.    On Thursdays, September 26, 2013 and October 31, 2013 there will be inclass examinations. There will also be a final at a date to be announced.

Important! The final and inclass exams must be taken at the scheduled time unless prior arrangements are made. There must be adequate cause in the judgment of the instructor.

Note: Circumstances such as weather may cause rescheduling of the exams.

Note: Plane reservations leaving before the final date are not considered adequate cause.

Note: Attendance at a wedding is not adequate cause for taking exams at other times. This is regardless of whether you are getting married, you are a member of the wedding party, or you are just in attendance.

Note: Having more than one final on the same day is also not adequate cause.
Note: There are many legitimate reasons such as illness and family emergency. If you have one of these, please contact the instructor.

Note: According to university policy, students with either learning and/or physical disabilities are entitled to special consideration. To qualify for this consideration, the instructor must be given official notification of the disability from the appropriate university unit.

Both the exams and the final will be cumulative. Some questions on the exam will require the demonstration of lessons learned in class and in the homework while some will also require the resourceful use of that knowledge. When preparing for exams, it is important to remember that in addition to using the skills acquired in class, it is also necessary to be able to decide which skills are needed for a particular problem.

In many of my courses I give out practice exams. Since these are always previous exams and I am teaching the course the first time, there will be no practice exams.

3.    There are also a number of required assignments. Each assignment is due on a specific date to be announced. Students are responsible for providing a readable and understandable presentation of results. Without an appropriate excuse an assignment turned in after the due date will receive a grade of zero. In general assignments will be submitted using Sakai.

4.    We will do a number of inclass exercises as well as lectures. They will be designed to enhance the material. In particular there will writing exercises to help you improve this essential skill.

5.    We will follow parts of the text fairly closely. Students are expected to keep up on reading the text and will be asked questions about what they read in class. There will be weekly study assignments as well.

6.    Class attendance is very important. Students are held responsible for all work covered and for meeting course deadlines.

Note: Missing class in order to complete work for another class or to study for an exam in another class is not a proper excuse.

7.    During class students are expected to be respectful of each other and the instructor. Questions are welcome if they are germane to the current topic. Other questions are welcome when asked in private. In this class data will come from a variety of disciplines. It is natural to be most interested in data from your own field of study. However, respect and courtesy toward data from other disciplines is expected.

8.    Academic honesty is expected at all times (See the Student Guide to University Policies for complete information on the Code of Student Conduct at http://www.udel.edu/stuguide/13-14/index.html ).

1.    In general students are expected to know and follow the university's policy on responsible computer use.

Grading Procedure:

 

The final course grade will be based upon the students performance on the assignments and the exams. The assignments will count 20-30 percent of the grade, the exams 70-80 percent of the grade.


Important information for listeners (official auditors). At the University of Delaware you may take a course as a listener. Then you are not required to take exams or turn in homework although you may do so. However, you ARE required to attend class. If a student has listener status and has a large number of unexcused absences, the instructor may give a grade of LW (for listener withdrawn) instead of L (for listener). I have decided to enforce this policy. While an LW will not affect your GPA or your graduation, prospective employers are often concerned to see withdrawn courses on your transcript and it is best to avoid them.

 

Requests for score changes:

 

If you feel either an assignment or an exam deserves a higher score, you may make a written request. The written request must be made on a separate sheet of paper and the assignment or exam must be attached. If you are still not satisfied, you may make an appointment with the instructor to discuss the matter. For Sakai assignments, written requests should be made through the Sakai message system. In this case there will be no need to include the assignment since I will have retained a copy.

 

Consultations:

 

Students are encouraged to visit the instructor in his office. Students may make appointments or drop by (In the last case the instructor may not always be available). Students are also encouraged to communicate with the instructor using E-mail or the Sakai message system.

 

Announcements:

Announcements about the course will be made by e-mail. Students are expected to pay close attention to e-mail messages from the instructor.

 

Handouts:

 

In general handouts will be available on Sakai in pdf format. Students are expected to download and print copies to have available in class. Some handouts may still be provided in class. To access the handouts, go to the URL

 

https://sakai.udel.edu/portal

 

 

 

Tentative list of topics (Some may not be covered):

  Principles and Techniques

  Planning experiments

  Designs with one factor

  Inference for contrasts and treatment means

  Checking Model Assumptions

  Complete block designs

  Two factor designs

  Several Factor Designs

  Nested and Split Plot Designs

  Random Effects and Variance Components

  Analysis of Covariance

  Other topics

o   Computer Aided Design

o   Latin squares

o   Crossover designs

o   Treatments confounded with blocks

o   Incomplete block designs

o   Fractional Factorial designs

o   Response surface methodology