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
- 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. | 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 1.34 page 37 1.60 page 60 |
|---|---|
| Homework 2, due February 16 | Chapter 1:
1.62 pages 61-62 1.88 page 86 1.110 page 89 |
| Homework 3, due February 23 | Chapter 2:
2.18 pages 121-122 2.28 page 129 2.44 pages 146-147 |
| Homework 4, due March 9 | Chapter 3:
3.6 pages 197-198 3.16 page 212 3.34 page 217 |
| Homework 5, due March 28 | Chapter 4:
4.14 page 272 4.28 page 275 4.52 page 289 |
| Homework 6, due April 4 | Chapter 4:
4.76 page 309 4.102 page 326 Chapter 5: 5.14 page 354 |
| Homework 7, due April 18 | Chapter 5:
5.34 page 370 5.50 pages 374-375 Chapter 6: 6.16 page 398 |
| Homework 8, due April 25 | Chapter 6:
6.28 page 399 6.36 pages 417-418 6.56 page 421 |
| Homework 9, due May 2 | Chapter 6:
6.82 page 429 Chapter 7: 7.6 page 473 7.34 page 481 |
| Homework 10, due May 9 | Chapter 8:
8.12 page 551 8.24 page 554 8.38 page 568 |
| Monday | Wednesday | Friday |
|---|---|---|
| January 29 Day
1 Introduction |
January 31 Day
2 Graphical Summaries Section 1.1 |
February 2 Day
3 Arizona Temps Section 1.1 |
| February 5 Day
4 Numerical Summaries Section 1.2 |
February 7 Day
5 Standard Deviation Section 1.2 |
February 9 Day
6 HW 1 Due Intro to Normal Section 1.3 |
| February 12 Day
7 Normal Problems Section 1.3 |
February 14 Day
8 Scatter plots and Correlation Sections 2.1 and 2.2 |
February 16 Day
9 HW 2 Due Outliers I Section 2.2 |
| February 19 Day
10 Olympic Races Section 2.3 |
February 21 Day
11 Outliers II Section 2.3 |
February 23 Day
12 HW 3 Due U. S. Population Sections 2.4 and 2.5 |
| February 26 Day
13 Presentation 1 Review |
February 28 Day
14 Exam 1 |
March 2 Day
15 Polls Section 3.1 to 3.3 |
| March 5 Day
16 Lurking Variables Section 3.1 |
March 7 Day
17 SRS's Section 3.2 |
March 9 Day
18 HW 4 Due Sampling Schemes Sections 3.3 and 3.4 |
| March 12 Day
19 Randomness Section 4.1 |
March 14 Day
20 Coins, Dice, RVís Section 4.2 |
March 16 Day
21 Random Variables Section 4.3 |
| March 26 Day
22 Means and Variances Section 4.4 |
March 28 Day
23 HW 5 Due Trees and Bayes' Section 4.5 |
March 30 Day
24 Binomial Section 5.1 |
| April 2 Day
25 Central Limit Theorem Section 5.2 |
April 4 Day26 HW 6 Due More CLT Section 5.2 |
April 6 Day
27 Review |
| April 9 Day
28 Presentation 2 |
April 11 Day
29 m&mís Section 6.1 |
April 13 Day
30 Exam 2 |
| April 16 Day
31 CI Practice Section 6.1 |
April 18 Day
32 HW 7 Due Contradiction Section 6.2 |
April 20 Day
33 Hypothesis Test Practice Section 6.2 |
| April 23 Day
34 Testing Simulation Section 6.2 to 6.3 |
April 25 Day
35 HW 8 Due Gosset Simulation Section 7.1 |
April 27 Day
36 Matched Pairs Section 7.1 |
| April 30 Day
37 Two Samples Section 7.2 |
May 2 Day
38 HW 9 Due Proportions Section 8.1 |
May 4 Day
39 2 Sample Proportions Section 8.2 |
| May 7 Day
40 Review |
May 9 Day
41 HW 10 Due Presentation 3 Review |
May 11 Day
42 Exam 3 |
Managed by: Chris
Edwards
edwards<at>uwosh.edu
Last updated January 13,
2007