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
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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:
Exam 1
Topic
Descriptive Statistics
Points
80 pts.
Tentative Date
March 5
Exam 2
Sampling, Probability, and the
CLT
Exam 3
Statistical Inference
Group Presentations 20 Points Each
Homework
10 Points Each
80 pts.
April 18
80 pts.
60 pts.
100 pts.
May 16
Biweekly
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:
A
AB
B
BC
C
D
0 to 3
4 to 6
7 to 9
10 to 12
13 or more
360 (90 %)
340 (85 %)
320 (80 %)
300 (75 %)
280 (70 %)
240 (60 %)
380 (95 %)
360 (90 %)
340 (85 %)
320 (80 %)
300 (75 %)
260 (65 %)
380 (95 %)
360 (90 %)
340 (85 %)
320 (80 %)
280 (70 %)
380 (95 %)
360 (90 %)
340 (85 %)
300 (75 %)
380 (95 %)
360 (90 %)
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:
Homework 2, due February 22
Chapter 1:
Homework 3, due February 29
Chapter 2:
Homework 4, due March 14
Chapter 3:
Homework 5, due April 2
Chapter 4:
Homework 6, due April 9
Chapter 4:
Homework 7, due April 23
Chapter 5:
Chapter 5:
Homework 8, due April 30
Chapter 6:
Chapter 6:
1.17, 1.18 pages 29-30
1.34 page 37
1.60 page 60
1.66 page 62
1.88 page 86
1.110 page 89
2.18 pages 121-122
2.32 page 130
2.44 pages 146-147
3.6 pages 197-198
3.16 page 212
3.34 page 217
4.14 page 272
4.28 page 275
4.52 page 289
4.68 page 307
4.102 page 326
5.14 page 354
5.34 page 370
5.50 pages 374-375
6.16 page 398
6.28 page 399
6.36 pages 417-418
Homework 9, due May 7
Chapter 6:
Chapter 7:
Homework 10, due May 14
Chapter 8:
6.56 page 421
6.82 page 429
7.6 page 473
7.34 page 481
8.12 page 551
8.24 page 554
8.38 page 568
Monday
Wednesday
Friday
February 4 Day 1
Introduction
February 6 Day 2
Graphical Summaries
Section 1.1
February 8 Day 3
Arizona Temps
Section 1.1
February 11 Day 4
Numerical Summaries
Section 1.2
February 13 Day 5
Standard Deviation
Section 1.2
February 15 Day 6
Homework 1 Due
Intro to Normal
Section 1.3
February 18 Day 7
Normal Problems
Section 1.3
(Attend. opt.)
February 20 Day 8
Scatter plots and
Correlation
Sections 2.1 and 2.2
February 22 Day 9
Homework 2 Due
Outliers I
Section 2.2
February 25 Day 10
Olympic Races
Section 2.3
February 27 Day 11
Outliers II
Section 2.3
February 29 Day 12
Homework 3 Due
U. S. Population
Sections 2.4 and 2.5
March 3 Day 13
Presentation 1
Review
March 5 Day 14
Exam 1
March 7 Day 15
Polls
Section 3.1 to 3.3
March 10 Day 16
Lurking Variables
Section 3.1
March 12 Day 17
SRS's
Section 3.2
March 14 Day 18
Homework 4 Due
Sampling Schemes
Sections 3.3 and 3.4
March 17 Day 19
Randomness
Section 4.1
March 19 Day 20
Coins, Dice, RV�s
Section 4.2
March 21 Day 21
Random Variables
Section 4.3
March 31 Day 22
Means and Variances
Section 4.4
April 2 Day 23
Homework 5 Due
Trees and Bayes'
Section 4.5
April 4 Day 24
Binomial
Section 5.1
April 7 Day 25
Central Limit Theorem
Section 5.2
April 9 Day26
Homework 6 Due
More CLT
Section 5.2
(Attend. opt.)
April 11 Day 27
Review
(Attend. opt.)
April 14 Day 28
Presentation 2
April 16 Day 29
m&m�s
Section 6.1
April 18 Day 30
April 21 Day 31
CI Practice
Section 6.1
April 23 Day 32
Homework 7 Due
Contradiction
Section 6.2
April 25 Day 33
Hypothesis Test Practice
Section 6.2
(Attend. opt.)
April 28 Day 34
Testing Simulation
Section 6.2 to 6.3
April 30 Day 35
Homework 8 Due
Gosset Simulation
Section 7.1
May 2 Day 36
Matched Pairs
Section 7.1
April 5 Day 37
Two Samples
Section 7.2
May 7 Day 38
Homework 9 Due
Proportions
Section 8.1
May 9 Day 39
2 Sample Proportions
Section 8.2
May 12 Day 40
Review
(Attend. opt.)
May 14 Day 41
Homework 10 Due
Presentation 3
Review
May 16 Day 42
Exam 2
Exam 3