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
                                      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 17

Chapter 5:                5.34 page 370
                                      5.50 pages 374-375
Chapter 6:                6.16 page 398

Homework 8, due November 29

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

 

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
Sampling Schemes
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
 Review

November 8 Day 28
Presentation 2

November 10 Day 29
Exam 2

November 13 Day 30
m&mís
Section 6.1

November 15 Day 31
CI Practice
Section 6.1

November 17 Day 32
HW 7 Due

Contradiction
Section 6.2

November 20 Day 33
 Hypothesis Test Practice
Section 6.2

November 22
NO CLASS

November 24
NO CLASS

November 27 Day 34
Testing Simulation
Section 6.2 to 6.3

November 29 Day 35
HW 8 Due

Gosset 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 dot edu
Last updated November 15, 2006