MATH 386/586
Linear Statistical Models
Spring 2012
Section 001 1:50 to 2:50 M W F
Instructor: Dr. Chris Edwards Phone: 424-1358 or 948-3969 Office: Swart 123
Classroom:
Swart 101 Text: Applied Linear Statistical Models 5th edition, by Kutner, Nachtsheim,
Neter, and Li. Link to
Day By Day Notes
Catalog Description: A unified
approach to the application of linear statistical models in analysis of
variance (ANOVA) and experimental design.
In ANOVA topics from single-factor ANOVA and multifactor ANOVA will be
considered. Experimental design
will include randomized blocks, Latin squares, and incomplete block
designs. Prerequisite: Mathematics
256 and 201 or Math 301 each with a grade of C or better.
Course Objectives: The goal of statistics is to gain
understanding from data. This
course focuses on critical thinking and active learning involving statistical
regression. Students will be
engaged in statistical problem solving and will develop intuition concerning
data analysis, including the use of appropriate technology. Specifically students will develop
á
an awareness of the nature
and value of linear models
á
a sound, critical approach to
interpreting statistics, including possible misuses
á
facility with statistical
calculations and evaluations, using appropriate technology
á
effective written and oral communication skills
Grading: Final grades are based on
290 points:
|
|
Topic |
Points |
Tentative Date |
Chapters |
|
Exam 1 |
One-Factor ANOVA |
70 pts. |
February 27 |
15 to 18 |
|
Exam 2 |
Multifactor ANOVA |
70 pts. |
April 6 |
19 to 21, 23 |
|
Exam 3 |
Experimental Designs |
70 pts. |
May 11 |
24 to 29 |
|
Homework |
10 Points Each |
80 pts. |
Mostly Weekly |
|
Grades: Grades
will be assigned by the following schedule.
|
Grade |
Points
(Percent) |
Grade |
Points
(Percent) |
Grade |
Points
(Percent) |
|
A |
261
(90 %) |
B- |
223
(77 %) |
D+ |
183
(63 %) |
|
A- |
252
(87 %) |
C+ |
212
(73 %) |
D |
174
(60 %) |
|
B+ |
241
(83 %) |
C |
203
(70 %) |
D- |
165
(57 %) |
|
B |
232
(80 %) |
C- |
194
(67 %) |
F |
164
or fewer |
Homework: I will collect four homework problems
approximately once every other week.
The due dates are listed on the course outline below. I suggest that you work together in
small groups on the homework if you like, but donŐt forget that I am a resource
for you to use. Often we will use
computer software to perform our analyses; include printouts where appropriate,
but please make your papers readable.
In other words, I donŐt want 25 pages of printout handed in if you can
summarize it in two.
Office Hours: Office
hours are times when I will be in my office to help you. There are many other times when I am in
my office. If I am in and not busy,
I will be happy to help. My office
hours for Spring 2012 semester are 10:20 to 11:00, Monday, Tuesday, Wednesday,
and Friday, and 2:00 to 3:00 Tuesday, or by appointment.
Philosophy: I strongly believe that you, the
student, are the only person who can make yourself learn. Therefore, whenever it is appropriate, I
expect you to discover the
mathematics we will be exploring. I
do not feel that lecturing to you will teach you how to do mathematics. I hope to be your guide while we learn
some mathematics, but you will need
to do the learning. I expect each
of you to come to class prepared to digest the dayŐs material. That means you will benefit most by
having read each section of the text before class.
My idea of
education is that one learns by doing.
I believe that you must be engaged in the learning process to learn
well. Therefore, I view my job as a
teacher as not telling you the answers to the problems we will encounter, but
rather pointing you in a direction that will allow you to see the solutions
yourselves. To accomplish that
goal, I will work to find different interactive activities for us to work
on. Your job is to use me, to use your
text, to use your friends, and any other resources. Keep in mind that the goal is to learn
mathematics, not to pass the exams.
(Incidentally, if you have truly learned the material, the exam results
will take care of themselves.)
Math
586 Expectations:
Expectations for the graduate students are understandably more rigorous
than for the undergraduate student.
Students taking Math 586 will have an extra theoretical problem added to
each homework, to be assigned during the semester. In addition, a final project worth 50
points will be due at the end of the semester. This project will involve a complete
analysis of a data set, including model estimation, development, and
validation.
|
Homework 1, due February 13 |
Chapter 15: 15.13,
15.22 |
|
Homework 2, due February 24 |
Chapter 17: 17.8,
17.14 |
|
Homework 3, due March 9 |
Chapter 19: 19.6,
19.14, 19.15, 19.32 |
|
Homework 4, due March 16 |
Chapter 20: 20.2,
20.4 |
|
Homework 5, due April 4 |
Chapter 23: 23.4 |
|
Homework 6, due April 18 |
Chapter 26: 26.9,
26.10 |
|
Homework 7, due April 27 |
Chapter 28: 28.6,
28.7, 28.14, 28.15 |
|
Homework 8, due May 9 |
Chapter 29: 29.7,
29.20, 29.21, 29.22 |
Monday |
Wednesday |
Friday |
|
January 30 Day 1 |
February 1 Day 2 |
February 3 Day 3 |
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February 6 Day 4 |
February 8 Day 5 |
February 10 Day 6 |
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February 13 Day 7 |
February 15 Day 8 |
February 17 Day 9 |
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February 20 Day 10 |
February 22 Day 11 |
February 24 Day 12 |
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February 27 Day 13 |
February 29 Day 14 |
March 2 Day 15 |
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March 5 Day 16 |
March 7 Day 17 |
March 9 Day 18 |
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March 12 Day 19 |
March 14 Day 20 |
March 16 Day 21 |
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March 26 Day 22 |
March 28 Day 23 |
March 30 Day 24 |
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April 2 Day 25 |
April 4 Day 26 |
April 6 Day 27 |
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April 9 Day 28 |
April 11 Day 29 |
April 13 Day 30 |
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April 16 Day 31 |
April 18 Day 32 |
April 20 Day 33 |
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April 23 Day 34 |
April 25 Day 35 |
April 27 Day 36 |
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April 30 Day 37 |
May 2 Day 38 |
May 4 Day 39 |
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May 7 Day 40 |
May 9 Day 41 |
May 11 Day 42 |
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edwards
Last updated January 27, 2012