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Fall 2006 Course information

Meeting times and location

CRN	SUBJ	CRSE	SEC	CREDITS	TITLE		CAMPUS
		START DATE		END DATE	DAYS	TIMES	BLDG	ROOM
11686	MATH	665	001	3.00	Appl Regress Analys & Exp Dsgn		Indiana
		Aug 28, 2006		Dec 16, 2006	MW	04:45 pm - 06:15 pm	STRGT	229

Course descriptions

MATH 665 Applied Regression Analysis & Experimental Design
Credits: 3

This course is designed as an applied course in regression analysis, analysis of variance and experimental design. The student is introduced to least squares, the matrix approach to linear regression, the examiniation of residuals, dummy variables, the polynomial model, best regression equations, multiple regression and mathematical model building. Statistical software is used for the data analysis. Analysis of variance (ANOVA) and design of experiments including one- and two-factor analysis, randomized block designs and Latin squares are covered. Both the ANOVA and regression approaches to these concepts are introduced, as well as the appropriate nonparametric alternatives.

Pre-requisites:
MATH 564 Minimum Grade: C

Course materials

Textbook
Introduction to Linear Regression Analysis (3rd ed.) by Douglas C. Montgomery, Elizabeth A. Peck, and G. Geoffrey Vining, published in 2001 by Wiley-Interscience (ISBN 0-471-31565-6).

Calculator
A scientific or graphing calculator that you know how to use.

Software
SPSS
StatCrunch
Microsoft Excel
R

Course Objectives

• To understand regression notation and terminology in the context of simple linear regression.
• To extend understanding to the context of multiple linear regression.
• To encounter diagnostic tools and methods to be used with regression analysis.
• To explore experimental designs and how they relate to analysis of variance and regression methods.
• To be introduced to non-linear regression methods.
• To gain experience with statistical computing software.

How to succeed in this course

• Do your best.
• Attend all class meetings.
• Keep up with the course work.
• Do optional work when it is available.
• Get help when you need it.
• Revise and resubmit.

Grading policies

The components of your grade may include required homework assignments, optional assignments, in-class assignments, quizzes, in-class tests, a written project report and accompanying presentation, and a cumulative final examination.

The in-class tests will be given on Monday, October 2 and Wednesday, November 8, and will each be worth 75 points. The written report and accompanying presentation will be worth 100 points. The cumulative final examination will be worth 100 points, and will be given on Wednesday, December 13, 2006 from 2:45 until 4:45 PM.

Your grade will be computed by finding the percentage of points you earn in the course out of the number of points available to you in the course through required and optional work.

Grade	Percentage range
A	90% to 100%	Advanced understanding of the course material
B	80% to 90%	Basic understanding of the course material
C	60% to 80%	Concern about your understanding of the course material
F	0% to 60%	Seriously deficient understanding of the course material

Disclosure policy

The definition of "plagiarism" is more closely related to not acknowledging the source of information or assistance than to the act of borrowing the information or accepting the assistance.

With that in mind, you are allowed to use books, Web resources, people (including other students in our class), and any other resources you wish to help you complete the out-of-class work assigned in this course. However, you must disclose any assistance you receive from these external sources. I will consider failure to disclose the resources you use and assistance you receive as a violation of the IUP Academic Integrity Policy (see www.iup.edu/registrar/catalog/acapolicy/index.shtm#Academic Integrity Policy and Procedures), and will take appropriate disciplinary action.

Please note that in-class exams in this course must be completed by the individual student only, and that I reserve the right to intervene in situations in which I perceive collaboration to be out of balance or dependence on external resources to be extreme.

Attendance and late homework policies

You are expected to attend all class meetings, including presentations by other students. If you miss a class, please turn in any assignments that were due as soon as possible.

Grades for assignments turned in late will be penalized, with an increasing penalty as time passes beyond the due date, unless a legitimate excuse is approved by the instructor.

Make-up assignments and tests must be arranged on a case-by-case basis, and will be approved only with a legitimate excuse.