Statistical Sciences 4846b
Experimental Design
Course Outline
Instructor:
David Bellhouse
Method of Contact:
Office: Western Science Centre 229 Phone: 661-3614
e-mail: NB: Since it is insecure, e-mail is to be used only in cases where there is no personal information to be relayed between the instructor and the student. In view of the Freedom of Information and Privacy Act (FIPA) that came into effect on June 10, 2006 all requests for any special consideration in the course based on personal issues such as sickness or religious belief must be done in writing. All such correspondence will be kept for one year from the end of term and then destroyed. As a result of FIPA, e-mail should be used only to provide me with non-personal information or to ask a question that requires a brief response. For more lengthy discussions that do not involve information of a personal nature, you should visit my office during the office hours indicated below or make an appointment to see me. Should you decide to send me an e-mail, please remember that I will only read e-mails sent from your UWO student account. E-mails from other accounts (e.g. hotmail, yahoo, etc.) will not be read.
Class Times and Place:
Monday, Wednesday, Friday 1:30 – 2:30 p.m. in Western Science Centre 240.
Tutorial Hour:
The tutorial hour will not be used.
Office Hours:
Monday, Wednesday, Friday 9:00 – 10:00 a.m. or by appointment
Textbook:
D.C. Montgomery (2009) Design and Analysis of Experiments, 7th Edition, John Wiley and Sons.
Topics Covered:
Chapters 3 through 6, 13 and 14, as well as parts of Chapters 7 and 8. It is assumed that Chapters 1 and 2 are already part of the student’s background. These chapters cover the topics outlined in the university calendar: completely randomized designs, randomized complete and incomplete block designs, factorial and fractional factorial designs, latin square designs, hierarchical designs, random and fixed effect models.
Purpose of the course:
There are two basic purposes to the course:
(1) To become familiar with the use of different statistical experimental designs, including when and why they are used.
(2) To be able to perform detailed statistical analyses in connection with standard designed experiments.
Course Prerequisites:
Statistical Sciences 3843a/b (not yet offered) or Statistical Sciences 2858a/b and Statistical Sciences 3859a/b.
Anti-requisites
The former Statistical Sciences 3846a/b.
Computing
Computing is an integral part of the course. There will be assignments that require programming in the R language.
Method of Evaluation:
(1) There will be five assignments due approximately every two weeks. The due dates for the assignments are:
Assignment 1: Friday, January 15
Assignment 2: Friday, January 29
Assignment 3: Friday, February 12
Assignment 4: Friday, March 12
Assignment 5: Friday, March 29
(2) There will be one two-hour term test on March 3, 7:00 – 9:00 p.m. Location to be announced. NB There will be no makeup test for a missed test. Missing the test for any legitimate reason will result in the 30% weighting for that quiz being reallocated to the grade from the final exam.
(3) There will be a two-hour final examination, scheduled by the Registrar’s Office. Questions on the final examination will be taken from topics covering the entire course.
Allocation of Grades:
Assignments 20%
Term Test 30%
Final Exam 50%
Policy on Late Assignments
Assignments and the project are due on Friday in class. Assignments past that time will not be accepted.