SYLLABUS STAT 313/513

 

Course Number and Title: STAT 313/513 Design of Experiments    Credit Hours: 3     Course Format: Lecture/Lab

Semester: Spring, 2012     Lecture Meeting Time: Monday, Wednesday 8:30-9:20     Labs: Tuesday 5:30-6:20

Location: 250H (lecture) 116W (labs)       Instructor Name: Gerry Hobbs

Office Hours: Monday  (4:30-6:00 and 9:20-10:30) in Hodges 408, or by appt.  I am in HSC3308 most of the time. You can call me at the 1093 number to arrange a meeting time at the Medical School.

Office Telephone: 304-293-1093 (HSC) & 304-293-3607x1057 (Hodges)

E-mail: ghobbs@stat.wvu.edu     Website: http://www.stat.wvu.edu/~ghobbs  Follow the STAT313/513 link.

Required Text:  Doug Montgomery: Design & Analysis of Experiments 7th ed. I understand that new textbooks are awfully expensive.  Earlier (thus cheaper) editions of the book are available and you may use those at your own risk.  Most of the material is unchanged from one edition to the next so it is not unreasonable to use an older edition. However, I wonÕt make any attempt to figure out what parts are new to the current edition or to translate Òchapters & sectionsÓ from one edition to the other for you.

Course Description: The course focuses on treatment design.  Specifically, we discuss the ways in which experimental material is allocated to different treatments in scientific investigations so that the maximum amount of information may be extracted from planned experiments.  Stat 312 & 512 focus on the arithmetic, analysis & interpretation associated with many of the designs we will discuss.  It isnÕt possible to teach this class without talking about those things too so we will review much of that material but we will try to emphasize the planning phase of experimentation.  What we are talking about here is how you allocate experimental material (cows, trees, people, cities, steel ingots, etc) to different treatments in such a way as to derive the maximum amount of information from the efforts of the research team.

 

Basis of Final Grade/Evaluation Criteria:

 

1.  Items

  1. Written Exams (Two @ 100 points per exam)                        200 points
  2. Final Exam - cumulative                                                          150 points

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                                                                                                Total = 350 points

2.  Final Grading

All students will be evaluated relative to all other students.  Those with the most points will get the best grades.  I think you guys call that Òthe curveÓ.  I donÕt know how to teach two different classes with the same lecture so I try to compensate for that.  STAT 313 students will be cut a certain amount of slack with respect to final grading.

 

Incomplete Grading Policy for the Department of Statistics: The grade of I (incomplete) is given only when the instructor believes that the course work is unavoidably incomplete. As I understand it all IÕs must be removed within one month. Any student receiving an incomplete must contact the faculty member who issued the incomplete to discuss the conditions required for its removal. If an ÒIÓ is not rectified, it will be changed to a grade of F.  Please notice: we expressly do not give incompletes simply so you can avoid a bad grade.

 

Academic Dishonesty: Please note that I try to follow university guidelines with respect to these matters.  They are available to you from various sources including publications.  Academic Dishonesty is defined to include, but is not limited to, any of the following:

 1.  Plagiarism: Plagiarism is defined in terms of proscribed acts. Students are expected to understand that such practices constitute academic dishonesty regardless of motive.  Those who deny deceitful intent, claim not to have known that the act constituted plagiarism, or maintain that what they did was inadvertent are nevertheless subject to penalties when plagiarism has been confirmed. Plagiarism includes, but is not limited to the following:

a.  Submitting as one's own work the product of someone else's research, writing, artistic conception, invention, or design; that is, submitting as one's own work any report, notebook, speech, outline, theme, thesis, dissertation, commercially prepared paper, musical piece or other written, visual, oral or electronic/computerized material that has been copied in whole or in part from

the work of others, whether such source is published or unpublished.

b.  Incorporating in one's submission, without appropriate acknowledgment and attribution, portions of the works of others; that is, failing to use the conventional marks and symbols to acknowledge the use of verbatim and near- verbatim passages of someone else's work or failing to name the source of words, pictures, graphs, etc.., other than oneÕs own, that are incorporated into any work submitted as oneÕs own.

2.   Cheating and dishonest practices in connection with examinations, papers, and projects including, but not limited to:

a. Obtaining help from another student during examinations

b. Knowingly giving help to another student during examinations, taking an examination or doing academic work for another student, or providing one's own work for another student to copy and submit as his/her own.

c. The unauthorized use of notes, books, or other sources of information during examinations

d.  Obtaining without authorization an examination or any part thereof

3.   Forgery, misrepresentation, or fraud:

a. Forging or altering, or causing to be altered, the record of any grade in a grade book or other educational record.

b. Use of university documents or instruments of identification with intent to defraud.

c. Presenting false data or intentionally misrepresenting one's records for admission, registration, or withdrawal from the university or from a university course. Knowingly presenting false data or intentionally misrepresenting one's records for personal gain.

d. Knowingly furnishing the results of research projects or experiments for the inclusion in another's work without proper citation

e. Knowingly furnishing false statements in any university academic proceeding.

 

Social Justice: West Virginia University is committed to social justice. I concur with that commitment and expect a learning environment based on open communication, mutual respect, and non-discrimination. This University does not discriminate on the basis of race, sex, age, disability, veteran status, religion, sexual orientation, color or national origin and neither do I.

 

Disability:  If you are a person with a disability and anticipate needing any type of accommodation in order to participate in this class, please advise me of your condition and make appropriate arrangements with Disability Services (304-293-6700).

 

Schedule

 

Chapter 1 is an introduction to Design ideas.  Beyond that, the book ÒreviewsÓ various topics taught in prerequisites for this course.  That goes until about page 140 or so. I will spend a little time on certain of the topics in an attempt to give you a different orientation than you might already have but, I will skip most of that material so you should read the parts you donÕt remember very well.  The first test will come fairly early in the semester and it will include material from the first four chapters so you need to start reading right away.  Anticipate that test in the first half of February.  The first block of partially new material is contained in chapters 5-9.  That material concerns randomization and blocking in fixed effect factorial experiments.  Please note that you should already be familiar with many of the ideas in chapters 5-9.  We hope to achieve a different and deeper understanding than you got in earlier courses.  Chapters 10-11 are related to response surface methods.  We wonÕt specifically cover chapter 10 since it is a review of regression.  Chapters 13-14 involve random factors.  Those allow us to expand the scope of our inference.  Some authors have referred to them as Òvolume increasingÓ designs.  It is difficult for me to tell you how quickly we will proceed through the book since the pace we move at depends on the class interests, background and such mundane things as the weather.  We wonÕt cover every chapter in the book nor will we go exactly in page order.  I intend to cover some of the random effects material prior to covering Chapter 6.  The class is taught in a lecture/lab format.  The idea is to use the lab in such a way that you can learn how to use computer software to a) analyze data from designed experiments and b) generate designed experiments in those cases where the treatment assignment is less than obvious.  One practical problem that arises is that the material appropriate for labs isnÕt distributed evenly across the semester.  We will have to use some labs just to lecture and we will sometimes discuss Òcomputer thingsÓ during scheduled lecture periods.  Beyond a brief introduction to the software, the laboratory appropriate material generally occurs later in the course.  I will, one time only, hold the Tuesday night lab overtime, so I can introduce you to JMP software.  IÕll give you Òcomp timeÓ later to make up for that.  We may, if a room is available, do some of the Tuesday night labs in a regular lecture room.  For your planning purposes, I will be in Seattle at a SAS conference Monday through Wednesday. April 12-14, so there will be no classes during that week. I will give you a reading assignment for that week.