M3080-1, Applied Statistics II SYLLABUS (Spring 2005) 4-3-5 Lecture: MW, 9:40 am - 10:30 am, WBB 617; Computer Lab: F, 9:40 am - 11:35 am, LCB 115; Instructor: Dr. A.Treibergs, JWB 224, 581-8350 email: treiberg@math.utah.edu Class Web Page: http://www.math.utah.edu/~treiberg/M3080.html Office Hours: MTWH, 10:45 - 11:45am (tent.) and by appointment HW Reader: Dan Nye dan.nye@utah.edu Prerequisite: Math 3070, Applied Statistics I Texts: 1) Probability and Statistics for Engineering and the Sciences, by Jay L. Devore, 6th ed., (2004) 2) Learning SAS in the Computer Lab, 2nd ed., by Rebecca J. Elliott (1999) both Brooks/Cole Publishing, Pacific Grove Lab: Students will meet in the computer lab once a week for two hours. Students must pass the lab to pass the course. Homework: You will be asked to write up and hand in homework problems weekly. Midterms: There will be two full hour midterm exams on Feb.9 and March 30. Questions will be modifications of homework problems. A makeup on a missed test will be given only when exceptional circumstances arise that are beyond a student's control. Except in the case of emergency, prior approval for a makeup must be obtained from the instructor. Final Exam: Fri., April 29, 8:00 - 10:00 am, WBB BB 617. Half of the final will be devoted to material covered after the third midterm exam. The other half will be comprehensive. Students must pass the final to pass the course. Class Project: A comprehensive project covering the course material and using the software programs discussed in the lab. This will be due on Reading Day, April 28th. Course Grade: Based two midterm scores 32%, final 24%, homework 22%, semester project 12% plus lab 10%. Free Tutoring: The T. Benny Rushing Mathematics Tutoring Center offers free tutoring. Beginning the second week, tutoring will be available from 8am to 8pm Monday through Thursday and 8am to 6pm on Friday. Students in statistics courses should check the schedule to see when a tutor in statistics is available. Withdrawals: Last day to drop a class is Jan. 19. Last day to add a class is Jan. 24. Until Feb. 4 you can withdraw from the class with no approval at all. After that date you must petition your dean's office to be allowed to withdraw. ADA: The Americans with Disability Act requires that reasonable accommodations be provided for students with cognitive, systemic, learning and psychiatric disabilities. Please contact me at the beginning of the quarter to discuss any such accommodations you may require for this course. Course Content: This course is the second in a sequence of two that offer a comprehensive introduction to the concepts of probability and statistics. In this course, it is assumed that students have had an introduction to the basic notions of random variable, sampling distributions, simple confidence intervals, and hypothesis tests. The course will begin with a review of hypothesis testing. The main part of the course will focus on Analysis of Variance (Anova) for one and two-factor experiments and Linear Regression (simple and multiple. The last part of the course will be topics from nonparametric statistical methods as time permits. Throughout the course, students will examine both the theory behind statistical decision-making and the practical application of these techniques to problems from different areas so that students can better appreciate the use of statistics in their personal and professional lives. The course material will be based on Chapters 8-15 of the above text and the lab assignments in the lab manual indicated above.