MATH 201 Applied Statistics:
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
- 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. | October 6 |
| Exam 2 | Sampling, Probability, and the CLT | 80 pts. | November 8 |
| 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 => |
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 6). 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 1.34 page 37 1.60 page 60 |
| Homework 2, due September 25 | Chapter 1: 1.62 pages 61-62 1.88 page 86 1.110 page 89 |
| Homework 3, due October 2 | Chapter 2: 2.18 pages 121-122 2.28 page 129 2.44 pages 146-147 |
| Homework 4, due October 16 | Chapter 3: 3.6 pages 197-198 3.16 page 212 3.34 page 217 |
| Homework 5, due October 27 | Chapter 4: 4.14 page 272 4.28 page 275 4.52 page 289 |
| Homework 6, due November 3 | Chapter 4: 4.76 page 309 4.102 page 326 Chapter 5: 5.14 page 354 |
| Homework 7, due November 15 | Chapter 5: 5.34 page 370 5.50 pages 374-375 Chapter 6: 6.16 page 398 |
| Homework 8, due November 27 | Chapter 6: 6.28 page 399 6.36 pages 417-418 6.56 page 421 |
| Homework 9, due December 6 | Chapter 6: 6.82 page 429 Chapter 7: 7.6 page 473 7.34 page 481 |
| Homework 10, due December 13 | Chapter 8: 8.12 page 551 8.24 page 554 8.38 page 568 |
HW 4 Due
Inference Definitions
Sections 3.3 and 3.4 October 18 Day 19
Randomness
Section 4.1
| Monday | Wednesday | Friday |
|---|---|---|
| September 4 NO CLASS |
September 6 Day 1 Introduction |
September 8 Day 2 Graphical Summaries Section 1.1 |
| September 11 Day 3 Arizona Temps Section 1.1 |
September 13 Day 4 Numerical Summaries Section 1.2 |
September 15 Day 5 Standard Deviation Section 1.2 |
| September 18 Day 6 HW 1 Due Intro to Normal Section 1.3 |
September 20 Day 7 Normal Problems Section 1.3 |
September 22 Day 8 Scatter plots and Correlation Sections 2.1 and 2.2 |
| September 25 Day 9 HW 2 Due Outliers I Section 2.2 |
September 27 Day 10 Olympic Races Section 2.3 |
September 29 Day 11 Outliers II Section 2.3 |
| October 2 Day 12 HW 3 Due U. S. Population Sections 2.4 and 2.5 |
October 4 Day 13 Presentation 1 Review |
October 6 Day 14 Exam 1 |
| October 9 Day 15 Polls Section 3.1 to 3.3 |
October 11 Day 16 Lurking Variables Section 3.1 |
October 13 Day 17 SRS's Section 3.2 |
| October 16 Day 18 HW 4 Due Inference Definitions Sections 3.3 and 3.4 | October 18 Day 19 Randomness Section 4.1 | October 20 Day 20 Coins, Dice, RVís Section 4.2 |
| October 23 Day 21 Random Variables Section 4.3 |
October 25 Day 22 Means and Variances Section 4.4 |
October 27 Day 23 HW 5 Due Trees and Bayes' Section 4.5 |
| October 30 Day 24 Binomial Section 5.1 |
November 1 Day 25 Central Limit Theorem Section 5.2 |
November 3 Day26 HW 6 Due More CLT Section 5.2 |
| November 6 Day 27 Presentation 2 Review |
November 8 Day 28 Exam 2 |
November 10 Day 29 m&mís Section 6.1 |
| November 13 Day 30 CI Practice Section 6.1 |
November 15 Day 31 HW 7 Due Contradiction Section 6.2 |
November 17 Day 32 Hypothesis Test Practice Section 6.2 |
| November 20 Day 33 Testing Simulation Section 6.2 |
November 22 NO CLASS |
November 24 NO CLASS |
| November 27 Day 34 HW 8 Due Abuses Section 6.3 |
November 29 Day 35 Gossett Simulation Section 7.1 |
December 1 Day 36 Matched Pairs Section 7.1 |
| December 4 Day 37 Two Samples Section 7.2 |
December 6 Day 38 HW 9 Due Proportions Section 8.1 |
December 8 Day 39 2 Sample Proportions Section 8.2 |
| December 11 Day 40 Review |
December 13 Day 41 HW 10 Due Presentation 3 Review |
December 15 Day 42 Exam 3 |
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Managed by: Chris Edwards
edwards<at>uwosh.edu
Last updated August 15, 2006