MATH 201 Applied
Statistics
Fall 2006
Section 001 9:10
to 10:10 M W F
Section 002 10:20
to 11:20 M W F
Instructor:
Dr. Chris Edwards
Phone: 424-1358 or
948-3969
Office: Swart 123
Classroom: Swart 240
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. |
October 6 |
Exam 2 |
Sampling,
Probability, and the CLT |
80 pts. |
November 10 |
Exam 3 |
Statistical Inference |
80 pts. |
December 15 |
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 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
(October 4). 2 - Sampling and
Probability (November 8). 3 -
Statistical Hypothesis Testing (December 13).
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 Fall 2006 semester are 1:50 to 2:50
Monday, Tuesday, Wednesday, and Friday, 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
September 18 |
Chapter 1:
1.18
pages 29-30 |
Homework 2, due
September 25 |
Chapter 1:
1.62
pages 61-62 |
Homework 3, due
October 2 |
Chapter 2:
2.18
pages 121-122 |
Homework 4, due
October 16 |
Chapter 3:
3.6
pages 197-198 |
Homework 5, due
October 27 |
Chapter 4:
4.14
page 272 |
Homework 6, due
November 3 |
Chapter 4:
4.76
page 309 |
Homework 7, due
November 17 |
Chapter 5:
5.34
page 370 |
Homework 8, due
November 29 |
Chapter 6:
6.28
page 399 |
Homework 9, due December
6 |
Chapter 6:
6.82
page 429 |
Homework 10, due
December 13 |
Chapter 8:
8.12
page 551 |
Monday |
Wednesday |
Friday |
September 4 |
September 6 Day 1 |
September 8 Day 2 |
September 11 Day 3 |
September 13 Day 4 |
September 15 Day 5 |
September 18 Day 6 |
September 20 Day 7 |
September 22 Day 8 |
September 25 Day 9 |
September 27 Day 10 |
September 29 Day 11 |
October 2 Day 12 |
October 4 Day 13 |
October 6 Day 14 |
October 9 Day 15 |
October 11 Day 16 |
October 13 Day 17 |
October 16 Day 18 |
October 18 Day 19 |
October 20 Day 20 |
October 23 Day 21 |
October 25 Day 22 |
October 27 Day 23 |
October 30 Day 24 |
November 1 Day 25 |
November 3 Day26 |
November 6 Day 27 |
November 8 Day 28 |
November 10 Day 29 |
November 13 Day 30 |
November 15 Day 31 |
November 17 Day 32 |
November 20 Day 33 |
November 22 |
November
24 |
November 27 Day 34 |
November 29 Day 35 |
December 1 Day 36 |
December 4 Day 37 |
December 6 Day 38 |
December 8 Day 39 |
December 11 Day 40 |
December 13 Day 41 |
December 15 Day 42 |
Managed by: Chris
Edwards
edwards at uwosh dot edu
Last updated November 15, 2006