Math 447/547: Statistical Design & Analysis of Experiments, 3 Credits, Spring 2010, SDSMT
To consult the statistician after an experiment is finished is
often merely to ask him [her] to conduct a post mortem examination.
[S]He can perhaps say what the experiment died of.
R.A. Fisher, 1938
Finding Your Instructor
Roger Johnson ("Roger" or "Mr. Johnson" is fine), McLaury 314A
email: Roger.Johnson@sdsmt.edu,
web: http://www.mcs.sdsmt.edu/~rwjohnso/
(this page available via the link "Course Syllabi")
phone: 355-3450 (my office)
(Tentative) Office Hours
Monday 3-4
Tuesday 1-2
Thursday 10-12
Friday 3-4
& by appointment (catch me after class or send an email)
Class Meetings & Important Dates
Class meetings are 11:00 - 11:50 MWF in McLaury 310, Friday, January 15 through Friday, April 30 with holidays
on January 18, February 15, March 8-12 and April 2,5 for a total of 39 class meetings. The last day to drop for
100% refund is January 22; the last day to drop with a 'W' is April 7. The final exam, which may not be taken
early by department policy, takes place Tuesday, May 4 from 8:00 - 9:50.
Prerequisites
Math 381 or Math 441/442 or permission of the instructor (some prior exposure to
probability and statistics including hypothesis testing and least squares will suffice).
Course Description
Review of two-sample tests on means - independent and dependent (paired)
data. Experiments to compare several treatment means. Factorial and
fractional factorial designs. Principles of blocking and randomization.
Empirical models, regression, and response surface methods.
Textbooks
Required:
Fundamental Concepts in the Design of Experiments, Fifth edition, by Charles R. Hicks and Kenneth V. Turner, Jr., 1999, Oxford University Press,
ISBN: 978-0-19-512273-2 (SDSM&T Bookstore prices: 129.00 new, 103.25 used).
Optional:
Applied Linear Regression, Third edition, by Sanford Weisberg, 2005, John Wiley & Sons, ISBN: 0-471-66379-4 (SDSM&T Bookstore prices: 135.00 new,
108.00 used).
Other Resources (not needed for the course but possibly helpful depending on your research):
Statisics for Experimenters, 2nd Edition, by Box, Hunter, Hunter, 2005, Wiley & Sons.
Design and Analysis of Experiments, 6th Edition, by Montgomery, 2004, Wiley.
Response Surface Methodology: Process and Product Optimization Using Designed Experiments,
2nd Edition, by Myers and Montgomery, 2002, Wiley.
Brief Summaries
- Jan 15: Projects involving experimentation: (1) planning, (2) design and (3) analysis stages. Read Chapter 1
of H&T. Closing crop yield and fertilizer puzzle to think about for next class.
- Jan 18: Holiday
- Jan 20: Introduction to Minitab. Introduction to oneway ANOVA. Read 3.1.
- Jan 22: Oneway ANOVA (continued). Read 3.7.
- Jan 25: Nonparametric alternatives to oneway ANOVA. HW #1 distributed.
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- Tuesday, May 4: Final Exam, 8:00 - 9:50
Time Commitment
According to the 2007-2008 SDSMT
Undergradute & Graduate Catalog, the average student enrolled in this course will need 6
hours of studying time for this class per week (note, for example, that this is 1 hour per
day with 1 day off per week).
Grading
Grades will be determined using the following weights:
Homework (including Minitab Labs) - 25%
Exams - February 24, April 24 - 25% each
Final Exam (May 4 @ 8:00) - 25%
For the exams you may bring a single sheet 8.5" by 11" (both
sides!) of notes and a calculator. No other materials may be brought in
(e.g. exam is closed book). In borderline grading situations,
attendance and class participation will be used in
coming to a grade determination.
Accessing Minitab
More details will be given on Minitab during the term. For
now, to access Minitab, use the path
f:\NetApps\minitab\15\program files\Minitab 15\Mtb.exe
If a "Find License" dialog opens, then enter 27000@foghorn.sdsmt.edu in the "Specify License Server
System" box.
To enter Minitab Commands, click somewhere on the top ("Session")
Window, then on Editor, then on Enable Commands. This will bring
up the Minitab MTB> prompt.
You may download, for free, a 30-day demonstration version of Minitab at the
web site http://minitab.com/products/minitab/demo/.
Some Statistical Websites
- Statistics Glossary - Including
design of experiments terminology
- CAST - Resource for reviewing and learning statistics
(includes multiple regression and experimental design).
Suggestions
With apologies to David Letterman (and from fellow statistics educator
Allan Rossman from whom I stole most of this), I offer you the following
"Top Ten" suggestions as you approach this course:
| 10. | Come to Class |
| 9. | Ask Questions |
| 8. | Use Office Hours |
| 7. | Don't Get Behind |
| 6. | Don't Get Overconfident |
| 5. | Work Together |
| 4. | Read Carefully |
| 3. | Get Comfortable with "Minitab" |
| 2. | Have Fun! |
| 1. | Think! |
Homework Policies
Homework, in general, should be turned in at the beginning of class
on the date requested. I will accept a late homework set only
under the following two conditions: (i) the solutions to this
homework set have not yet been passed out or discussed in class, and (ii)
I have not yet graded the homework set for those people who turned it in
on-time.
For homework that you are to work on as individuals, you may discuss
methods and procedures openly with classmates. Once you begin to write-up
the homework you are to turn in, however, this must be done alone.
Occasionally I may have you work on homework with others (e.g. in pairs).
Again, you may discuss methods and procedures with other groups, but only
group members may be involved in the write-up.
Freedom in Learning Statement
Under Board of Regents and University policy student academic performance may be
evaluated solely on an academic basis, not on opinions or conduct in matters unrelated
to academic standards. Students should be free to take reasoned exception to the data
or views offered in any course of study and to reserve judgment about matters of opinion,
but they are responsible for learning the content of any course of study for which they
are enrolled. Students who believe that an academic evaluation reflects prejudiced or
capricious consideration of student opinions or conduct unrelated to academic standards
should contact the dean of the college which offers the class to initiate a review of
the evaluation.
Electronic Devices Policy
Please turn off your cell phone before class starts. No text messaging in class.
No headphones.
Academic Integrity
Students are expected to be
familiar with policies stated in the SDSMT Undergraduate Catalog. In
particular, "the penalty for any act of academic dishonesty . . . shall be
at the discretion of the instructor and may . . . [result in] failure in the
class."
Attendance
Attendance is expected and, as
described in the SDSMT Undergraduate Catalog, "a student who fails
to attend classes regularly [apart from school-sponsored activities] must
satisfy such requirements as the instructor in a course may prescribe."
ADA Note
Students with special needs or requiring special
accomodation should contact the instructor and/or the campus ADA coordinator,
Jolie McCoy, at 394-1924 at the earliest opportunity.