MATH 201 Applied Statistics
Spring 2008
Section 001 8:00 to 9:00 M W F
Section 002 9:10 to 10:10 M W F
Section 004 1:50 to 2:50 M W F
Instructor:
Dr. Chris
Edwards Phone: 424-1358 or 948-3969 Office: Swart 123
Classroom: Swart 302/302/303 Text: Introduction to the Practice of Statistics 5th edition, by David S. Moore and George P. McCabe
Required
Calculator: TI-83, TI-83 Plus (or
TI-84 Plus), by Texas Instruments. Other TI graphics calculators (like the
TI-86) do not have the same statistics routines we will be using and will cause
you troubles.
Catalog
Description: An introduction to applied statistics using a
statistical computing package such as MINITAB. Topics include: Descriptive statistics, elementary
probability, discrete and continuous distributions, interval and point
estimation, hypothesis testing, regression and correlation. Credit cannot be earned for both PBIS
189 and Mathematics 201.
Prerequisite: Mathematics 104 or 108 with a grade of C or better.
Course
Objectives: (Click
here for full document.) The goal of
statistics is to gain understanding from data. This course focuses on critical thinking and active
learning. 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
• an interest and
aptitude in applying statistics to other areas of human inquiry
• an awareness of the
nature and value of statistics
• a sound, critical
approach to interpreting statistics, including possible misuses
• facility with
statistical calculations and evaluations, using appropriate technology
• effective written and
oral communication skills
Grading: Final grades are based on 400 points:
|
Topic |
Points |
Tentative Date |
Exam 1 |
Descriptive Statistics |
80 pts. |
March 5 |
Exam 2 |
Sampling, Probability, and the CLT |
80 pts. |
April 18 |
Exam 3 |
Statistical Inference |
80 pts. |
May 16 |
Group Presentations |
20 Points Each |
60 pts. |
Biweekly |
Homework |
10 Points Each |
100 pts. |
Weekly |
Attendance is a very
important component of success in my class because many of the skills and
lessons we will learn will be a direct result of classroom activities that cannot
be reproduced easily. Thus, final grades are based on attendance as well as
total points earned. On the
syllabus, I have noted days when I will not be taking attendance. These days are mostly review days or days we practice
material we've already covered.
Minimum scores for each grade and attendance level are as follows:
Absences => Grade: |
0 to
3 |
4 to
6 |
7 to
9 |
10
to 12 |
13
or more |
A |
360
(90 %) |
380
(95 %) |
|
|
|
AB |
340
(85 %) |
360
(90 %) |
380
(95 %) |
|
|
B |
320 (80
%) |
340
(85 %) |
360
(90 %) |
380
(95 %) |
|
BC |
300
(75 %) |
320
(80 %) |
340
(85 %) |
360
(90 %) |
380
(95 %) |
C |
280
(70 %) |
300
(75 %) |
320
(80 %) |
340
(85 %) |
360
(90 %) |
D |
240
(60 %) |
260
(65 %) |
280
(70 %) |
300
(75 %) |
320
(80 %) |
Presentations: There
will be three presentations, each worth 20 points. The descriptions of the presentations are on the Days201
file. I will assign you to your
groups for these presentations randomly, but I want to avoid you having the same
members each time. I expect each
person in a group to contribute to the work; you can allocate the work in any
way you like. If a group member is
not contributing, see me as soon as possible so I can make a decision about
what to do. The topics are: 1 - Displays and Regression (March
3). 2 - Sampling and Probability
(April 14). 3 - Statistical
Hypothesis Testing (May 14).
Homework: I will
collect 3 homework problems approximately once a week. The due dates are listed on the course
outline below. While I will only
be grading 3 problems, I presume that you will be working on many more than
just the three I assign. I suggest
that you work together in small groups on the homework for this class. What I
expect is a well thought-out, complete discussion of the problem. Please don't just put down a numerical
answer; I want to see how you did
the problem. (You won't get full
credit for just numerical answers.)
The method you use is much more important to me than the final answer. To aid in your study groups, I will be
distributing a class roll of both sections I am teaching this semester.
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 2008 semester are 10:20 to 11:00,
Monday, Wednesday, and Friday, and 3:00 to 4:15 Thursday, 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 statistics we will be exploring. I do not feel that
"lecturing" to you will teach you how to do statistics. I hope to be your "guide"
while we learn some statistics, but you will need to do the learning. The textbook we will be using for this
class will require you to actually read it to master the material.
My idea of teaching
/ learning is not "Teaching is telling and learning is
listening". I believe that
you must be active in the learning process to learn well. My job as a teacher, therefore, is not
to "tell" you the answers to the problems we will encounter; rather
it is to point 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
statistics, not to pass the exams.
(Incidentally, if you have truly learned the material, the exam results
will take care of themselves.)
Homework
Assignments: (subject to change if
we discover difficulties as we go)
Homework 1, due
February 15 |
Chapter 1: 1.17,
1.18 pages 29-30 |
Homework 2, due
February 22 |
Chapter 1: 1.66
page 62 |
Homework 3, due
February 29 |
Chapter 2: 2.18
pages 121-122 |
Homework 4, due
March 14 |
Chapter 3: 3.6
pages 197-198 |
Homework 5, due
April 2 |
Chapter 4: 4.14
page 272 |
Homework 6, due
April 9 |
Chapter 4: 4.68
page 307 |
Homework 7, due
April 23 |
Chapter 5: 5.34
page 370 |
Homework 8, due
April 30 |
Chapter 6: 6.28
page 399 |
Homework 9, due May
7 |
Chapter 6: 6.82
page 429 |
Homework 10, due May
14 |
Chapter 8: 8.12
page 551 |
Monday |
Wednesday |
Friday |
February 4 Day
1 |
February 6 Day
2 |
February 8 Day
3 |
February 11 Day 4 |
February 13 Day 5 |
February 15 Day 6 |
February 18 Day 7 |
February 20 Day 8 |
February 22 Day 9 |
February 25 Day 10 |
February 27 Day 11 |
February 29 Day 12 |
March 3 Day
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March 5 Day
14 |
March 7 Day
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March 10 Day
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March 12 Day
17 |
March 14 Day
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March 21 Day
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March 31 Day
22 |
April 2 Day
23 |
April 4 Day
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April 7 Day
25 |
April 9 Day26 |
April 11 Day
27 |
April 14 Day
28 |
April 16 Day
29 |
April 18 Day
30 |
April 21 Day
31 |
April 23 Day
32 |
April 25 Day
33 |
April 28 Day
34 |
April 30 Day
35 |
May 2 Day
36 |
April 5 Day
37 |
May 7 Day
38 |
May 9 Day
39 |
May 12 Day
40 |
May 14 Day
41 |
May 16 Day
42 |
Managed by chris
edwards:
click to email chris edwards
Last updated January 23, 2008