M3080-1, Applied Statistics II        SYLLABUS        (Spring 2010)   2 - 12 - 10

Lecture:                MW, 8:35 am - 9:25 am, AEB 360;       
Computer Lab:           H, 3:00 pm - 5:00 pm, LCB 115; 

Instructor:             Dr. A.Treibergs, JWB 224, 581-8350
email:                  treiberg@math.utah.edu
Class Web Page:         http://www.math.utah.edu/~treiberg/M3081.html
Office Hours:           MWF, 9:45 - 10:45am (tent.) and by appointment 


Prerequisite:   Math 3070, Applied Statistics I or consent of instructor.

Texts:  1)      Probability and Statistics for Science, Engineering and Finance, by 
                Walter A. Rozenkrantz, CRC Press (2009)
        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.10 and March 31.
                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:     Thursday, May 6, 2010 at 8:00 - 10:00 am in AEB 360 (the University's 
                Scheduled time). Half of the final will be devoted to material covered 
                after the second 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 29th.

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. 20. Last day to add a class is Jan. 25.
                Until Mar. 5 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 Contingency Tables, Analysis of Variance (Anova) 
                for one and two-factor experiments and Linear Regression (simple and 
                multiple.) We may touch on 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
                9-13 of the text and corresponding assignments in the lab manual.