MATH 201 Applied Statistics

Fall 2013

Section 004 1:50 to 2:50 M W F

Instructor: Dr. Chris Edwards       Phone: 424-1358 or 948-3969           Office: Swart 123

Classroom: S. Halsey 202     Text: Introduction to the Practice of Statistics 7th edition, by David S. Moore and George P. McCabe.  Earlier editions of the text will likely be adequate, but you will have to allow for different page numbers and homework problem numbers.       Link to Day by Day notes

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.  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 410 points:

 Topic Points Tentative Date Exam 1 Descriptive Statistics 90 pts. October 7 Exam 2 Sampling, Probability, and the CLT 90 pts. November 8 Exam 3 Statistical Inference 80 pts. December 13 Group Presentations 20 Points Each 60 pts. Biweekly Homework 10 Points Each 90 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. Please attend class as often as you can.  You are responsible for any material you miss.  The Day By Day notes will help you greatly in this regard.

Presentations:  There will be three presentations, each worth 20 points.  The descriptions of the presentations are in the Day By Day Notes.  I will assign you to your groups for these presentations, as 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.  Part of your presentation grade will be based on your own evaluations of how each person contributed to the presentation.  The topics are: 1 – Displays and Regression (October 4). 2 – Sampling and Probability (November 6). 3 – Statistical Hypothesis Testing (December 11).

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 2013 semester are Tuesday 10:30 to 11:30, Wednesday 3:00 to 4:00, 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 mathematics we will be exploring.  I do not feel that lecturing to you will teach you how to do mathematics.  I hope to be your guide while we learn some mathematics, but you will need to do the learning.  I expect each of you to come to class prepared to digest the dayÕs material.  That means you will benefit most by having read each section of the text and the Day By Day notes before class.

My idea of education is that one learns by doing.  I believe that you must be engaged in the learning process to learn well.  Therefore, I view my job as a teacher not as telling you the answers to the problems we will encounter, but rather pointing you in a direction that will allow you to see the solutions yourselves.  To accomplish that goal, I will find different interactive activities for us to work on.  Your job is to use me, your text, your friends, and any other resources to become adept at the material.

 Homework 1, due September 16 Chapter 1:        1.24 page 23 (make a pie chart, even without software) 1.34 page 25 1.42 page 27 (also consider using a quantile plot) Homework 2, due September 23 Chapter 1:       1.68 pages 46-47 (also include a quantile plot) 1.86 page 49 1.142 page 72 Homework 3, due September 30 Chapter 2:       2.24 page 96 2.60 page 107 2.66 pages 119 Homework 4, due October 16 Chapter 3:       3.18 page 184 3.66 page 210 (use the calculator instead of Table B) 3.68 pages 200-201 (use the calculator instead of Table B) Homework 5, due October 25 Chapter 4:       4.26 page 246 4.36 page 247 4.58 page 258 Homework 6, due November 1 Chapter 4:        4.84 page 276 4.116 pages 291 Chapter 5:       5.18 page 310 Homework 7, due November 20 Chapter 6:       6.34 page 360 (Beware; the calculator will give a poor answer.) 6.52 page 378 6.66 page 380 Homework 8, due December 2 Chapter 6:       6.122 page 400 Chapter 7:       7.24 page 427 7.32 page 429 Homework 9, due December 9 Chapter 7:       7.80 page 457 Chapter 8:       8.26 page 488 8.56 page 503

 Monday Wednesday Friday September 2 No Class September 4 Day 1 Introduction September 6 Day 2 Graphical Summaries Section 1.1 September 9 Day 3 Arizona Temps Section 1.1 September 11 Day 4 Numerical Summaries Section 1.2 September 13 Day 5 Standard Deviation Section 1.2 September 16 Day 6 Homework 1 Due Intro to Normal Section 1.3 September 18 Day 7 Normal Problems Section 1.3 September 20 Day 8  Correlation Sections 2.1 and 2.2 September 23 Day 9 Homework 2 Due Outliers I Section 2.2 September 25 Day 10 Olympic Races Section 2.3 September 27 Day 11 Outliers II Section 2.3 September 30 Day 12 Homework 3 Due U. S. Population Sections 2.4 and 2.5 October 2 Day 13 Polls Section 3.1 to 3.3 October 4 Day 14 Presentation 1 Review October 7 Day 15 Exam 1 October 9 Day 16 Lurking Variables Section 3.1 October 11 Day 17 SRSÕs Section 3.2 October 14 Day 18  Sampling Schemes Sections 3.3 and 3.4 October 16 Day 19 Homework 4 Due Randomness Section 4.1 October 18 Day 20 Coins, Dice, RVÕs Section 4.2 October 21 Day 21 Random Variables Section 4.3 October 23 Day 22 Means and Variances Section 4.4 October 25 Day 23 Homework 5 Due Trees and BayesÕ Section 4.5 October 28 Day 24 Binomial Section 5.2 October 30 Day 25 Central Limit Theorem Section 5.1 November 1 Day26 Homework 6 Due More CLT Section 5.1 November 4 Day 27 Review November 6 Day 28 Presentation 2 November 8 Day 29 Exam 2

 November 11 Day 30 m&mÕs Section 6.1 November 13 Day 31 CI Practice Section 6.1 November 15 Day 32  Contradiction Section 6.2 November 18 Day 33  Hypothesis Test Practice Section 6.2 November 20 Day 34 Homework 7 Due Testing Simulation Section 6.2 to 6.3 November 22 Day 35 Gosset Simulation Section 7.1 November 25 Day 36 Matched Pairs Section 7.1 November 27 No Class November 29 No Class December 2 Day 37 Homework 8 Due Two Samples Section 7.2 December 4 Day 38 Proportions Section 8.1 December 6 Day 39 2 Sample Proportions Section 8.2 December 9 Day 40 Homework 9 Due Review December 11 Day 41  Presentation 3 Review December 13 Day 42 Exam 3

Managed by chris edwards
Last updated August 15, 2013