Math 3070 § 1     Applied Statistics I   «Syllabus»
************************************************************  Revised Aug. 31, 2001 ****

MWF 9:40 ­ 10:30 in NS 204
        
Instructor:             A. Treibergs, JWB 224, 581­8350.
     E-mail:            treiberg@math.utah.edu.  
     Web page:          http://www.math.utah.edu/~treiberg/M307.html
     Office Hours:      10:45-11:35 MWF (tent.) & by appt.

Texts:                  Walpole, Myers and  Myers, Probability and
                        Statistics for Engineers and Scientists, Sixth Ed., 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. First lab on computer basics meets Aug. 23.

    Homework:           Homework problems for each section are due
                        the second class period after that section is discussed.
                        Homework will not be collected.

    Midterms:           There will be three full hour midterm exams
                        on Sept. 14, Oct. 12 and Nov. 9. Questions will be
                        modifications of homework problems.

    Quizzes:            There will be four 15 minute quizzes on Aug.
                        31, Sept. 28, Oct. 26 and Nov. 30.  For the quizzes you will
                        be responsible for basic 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:         Tue., Dec. 11, NS 204. 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:       Because of university budget cuts,
                        homework grading in no longer available. Therefore the
                        course grade will be based on the best two of three midterm
                        scores 38%, best three of four quizzes 18%, final 34% plus
                        lab 10%.

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

Withdrawals:            Last day to drop a class is Aug. 31. Last
                        day to add a class is Sept. 4. Until Oct. 19 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
                        physical, 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:         The course material will be based on
                        Chapters 1-10 of the text and corresponding material from
                        the lab manual. 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 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. Finally we develop the basic techniques of
                        inferential statistics, point estimates, confidence
                        intervals and hypothesis testing 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.