MATH 201 Applied
Statistics
Spring 2007
Section 001 8:00
to 9:00 M W F
Section 002 9:10
to 10:10 M W F
Instructor:
Dr. Chris Edwards
Phone: 424-1358 or
948-3969
Office: Swart 123
Classroom: Swart 14
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
Mathematics 107 and 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
ï
an
interest and aptitude in applying statistics to
other areas of human inquiry
ï
an
awareness of the nature and value of statistics
ï
a
sound, critical approach to interpreting
statistics, including possible
misuses
ï
facility
with statistical calculations and evaluations,
using appropriate technology
ï
effective
written and oral communication skills
Grading: Final grades are based
on 400 points:
|
Topic |
Points |
Tentative Date |
Exam 1 |
Descriptive
Statistics |
80 pts. |
February 28 |
Exam 2 |
Sampling,
Probability, and the CLT |
80 pts. |
April 13 (in
Testing Center) |
Exam 3 |
Statistical Inference |
80 pts. |
May 11 |
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. 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
Days201Spring2007 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 (February 26).
2 - Sampling and Probability (April 9). 3 - Statistical Hypothesis
Testing (May 9).
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 2007 semester are 10:20 to 11:00,
Monday, Wednesday, and Friday, and 1:50 to 2:50
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 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
9 |
Chapter 1:
1.18
pages 29-30 |
Homework 2, due February
16 |
Chapter 1:
1.62
pages 61-62 |
Homework 3, due February
23 |
Chapter 2:
2.18
pages 121-122 |
Homework 4, due March
9 |
Chapter 3:
3.6
pages 197-198 |
Homework 5, due March
28 |
Chapter 4:
4.14
page 272 |
Homework 6, due April
4 |
Chapter 4:
4.76
page 309 |
Homework 7, due April
18 |
Chapter 5:
5.34
page 370 |
Homework 8, due April
25 |
Chapter 6:
6.28
page 399 |
Homework 9, due May
2 |
Chapter 6:
6.82
page 429 |
Homework 10, due May
9 |
Chapter 8:
8.12
page 551 |
Monday |
Wednesday |
Friday |
January 29 Day
1 |
January 31 Day
2 |
February 2 Day
3 |
February 5 Day
4 |
February 7 Day
5 |
February 9 Day
6 |
February 12 Day 7 |
February 14 Day 8 |
February 16 Day 9 |
February 19 Day 10 |
February 21 Day 11 |
February 23 Day 12 |
February 26 Day 13 |
February 28 Day 14 |
March 2 Day
15 |
March 5 Day
16 |
March 7 Day
17 |
March 9 Day
18 |
March 12 Day
19 |
March 14 Day
20 |
March 16 Day
21 |
March 26 Day
22 |
March 28 Day
23 |
March 30 Day
24 |
April 2 Day
25 |
April 4 Day26 |
April 6 Day
27 |
April 9 Day
28 |
April 11 Day
29 |
April 13 Day
30 |
April 16 Day
31 |
April 18 Day
32 |
April 20 Day
33 |
April 23 Day
34 |
April 25 Day
35 |
April 27 Day
36 |
April 30 Day
37 |
May 2 Day
38 |
May 4 Day
39 |
May 7 Day
40 |
May 9 Day
41 |
May 11 Day
42 |
Managed by: Chris
Edwards
edwards at uwosh dot edu
Last updated January 13, 2007