Math 3070 § 1   Applied Statistics I   *Syllabus*    Jan. 12, 2001

                MWF 9:40 ­ 10:30 in EMCB 112
        
Instructor:     A. Treibergs, JWB 224, 581-8350.
                E-mail: treiberg@math.utah.edu.  
                Office Hours: 10:45-11:35 MWF (tent.) & by appt.

Homepage:       http://www.math.utah.edu/~treiberg/M3070.html
        

Texts:          Jay L. Devore, Probability and Statistics for 
                Engineering and the Sciences 5th ed., Brooks/Cole 
                Publishing, Pacific Grove, 1999. 
                Rebecca Elliot, Learning SAS in the Computer Lab, 2nd ed. 


Grading:

    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 three full hour midterm exams on Jan. 31,
                Feb. 28 and Apr. 4. Questions will be modifications of 
                homework problems.

    Quizzes:    There will be four 15 minute quizzes on Jan.19, Feb.16,
                Mar. 23 and Apr. 13.  For the quizzes you will be 
                responsible for the material covered from the day of 
                the previous quiz or exam through the class meeting 
                preceding the quiz.
                
                No makeup quizzes will be given for any reason.

    Final exam: Mon., Apr. 30, 9:15-11:15 am, EMCB112. 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.

  Course grade: Based on the best two of three midterm scores 30%, best
                three of four quizzes 15%, final 25%, homework 20% plus
                lab 10%.

Tutoring Center:Free tutoring is available in the Math Tutoring
                Center, located in Mines 210. It opens Jan. 16, hours 
                M-Th 8:00 am-8:00 pm, Fri 8:00 am-2:00 pm.

Withdrawals:    Last day to drop a class is Jan. 17. Last day to add a
                class is Jan. 22. Until Mar. 2 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 is the first course in a sequence of two that
                offers a comprehensive introduction to the concepts of 
                probability and statistics. We begin by quickly 
                presenting some ways to organize and present data used 
                in descriptive statistics (Ch. 1.) Using sample data to
                make estimates about a population from which the sample
                is drawn depends on the notions from probability. We 
                consider basic laws of probability, random variables 
                (one- and two-dimensional), common distributions, 
                sample statistics and the Central limit Theorem 
                (Ch. 2-5.) Finally we develop the basic techniques of 
                inferential statistics, point estimates, confidence 
                intervals and hypothesis testing (Ch. 6-9.) 

                Both the theory behind statistical decision making and 
                its practical application to many different areas will 
                be examined in this course, so that students may 
                appreciate the use of statistics in their professional 
                and personal lives. The course material will be based 
                on Chapters 1-9 of the text and corresponding material 
                from the lab manual.