Meeting Times: 2:00 to 2:50am, MWF in RBN 4025.
Last day to withdraw: March 25
Final Exam: Wednesday, May 6, 2:45pm
Instructor: Nathan Smith
Office: RBN 4007
Contact: 566-7216 nsmith@math.uttyler.edu
Web Page: http://math.uttyler.edu/nathan/
Office Hours: To be announced. See my web page for the latest.
Text: Linear Models with R by Julian Faraway. ISBN 1-58488-425-8.
Course Topics: Point estimators, confidence intervals, and hypothesis testing, (quickly). Then the main focus will be on simple linear regression, multiple regression, and analysis of variance, model fitting and diagnostics.
Student Learning Outcomes: By the end of the course students should be able to:
Computing: Statistics today is done on a computer. We will be using the statistical package/programming language R, which is an implementation of the S programming language designed at Bell Labs. R is available for free from http://www.r-project.org/ for windows, mac, and unix platforms, and is available for your use in the computer lab in RBN 4021. If you have a computer available to you for use at home, you are encouraged to obtain and install R for use in this course.
Homework Help: You are always welcome to come by my office for help with homework. I will be in my office during the posted office hours. If I am in my office you are also welcome just to drop in. If I can't help you immediately, we can usually find a time that is better for both of us. Before coming to my office for homework help, you must have at least attempted the problems that you have questions about. You must bring your work so that I can examine it with you to determine your strengths and weaknesses. For this reason, I strongly encourage you to use a statistics notebook or folder and to use a diskette, USB thumb drive, rewritable CD or similar for your computing assignments. You should never come to my office for help without these.
Grading: There will be two midterm exams as well as a final exam. Each will count one fifth of your final grade. The remaining two fifths of your final grade will be based upon homework and in-class assignments.
Missed work: It is not expected that you will miss the midterm. If an emergency situation forces your absence on the day of the midterm, your final exam grade will be used to replace your midterm. Lack of preparation on your part will not be considered an emergency by the instructor.
University Policies: For University policies concerning Students' Rights and Responsibilities, Grade Replacement/Forgiveness, State-Mandated Corse Drop Policy, Disability Services, Student Absence due to Religios Observance, Student Absence for University-Sponsored Events and Activities, and the Social Security and FERPA Statement please see: