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.