The University of Utah

Math 3070-1: Fall 2009
Introduction to Statistical Inference

Instructor Davar Khoshnevisan (JWB 102)
Email email address
Office Hours link
Text Probability and Statistics for Science, Engineering, and Finance by Walter A. Rosenkrantz
Lectures MWF 9:45-10:30 a.m., BEH S 114
Prerequisite A grade of "C" or better in Math 1210 or equivalent.
No. of Credits 4 (fulfills "Quantitative Reasoning" [Math & Stat/Logic] and "Quantitative Intensive" BS).

Description An introduction to data analysis, elements of probability theory, sampling from normal populations, large-sample problems, sampling from one or two populations, estimation, and testing.

SAS is used in an accompanying lab to perform statistical analyses.

There are three lectures and one 1.5-hour lab per week.

This course is demanding and requires a good deal of work. Some material covered in class may come from other sources as a supplement to the text. Students are responsible for all materials covered in the lectures, as well as the reading material and assigned problems. Students must have a hand calculator for this course.

Grading Policy The course grade is based on weekly assignments, two midterms (1 hr each), and a final examination (2 hrs).
Each midterm covers the material introduced since the previous midterm. The final is comprehensive. The maximum possible number of points for each category are:

 Homework Midterm 1 Midterm 2 Final
Points possible 30 20 20 30

The student's course grade is then based on the following table:
Scored Points0-4950-60 61-7576-8586-100
Course GradeED CBA

  • There are no make-up exams and assignments in this course. The students will do well to make all of their semester's plans in advance with these and the following remarks in mind:
  • The only exceptions to the " no makeups" rule are: (a) Medical emergencies, together with written evidence of such an emergency; or (b) conflicting, and official, university-related activities (such as athletic meets) with written documentation. If you can present written documentation for missing an exam, then I will arrange for an oral exam whose grade will replace the missed examination.

Assignments and Examinations
  • Assignments are made weekly; you can find them by clicking on "Assignments" on the bottom of this page. Assignments include problems as well as reading.
  • I will drop the lowest two homework scores.
  • Late homeworks are not accepted under any conditions. If you cannot turn in a homework due to medical and/or accident-related emergencies, and if you can produce proper documentation, then I will replaced the missed homework by the average score of your other homeworks (before I drop the lowest two homework scores). Else, you will not receive credit for the missed homework.
  • A good policy for studying for this course is be to attempt the homeworks on time. Then, use the subsequent office hours and discussion sections to understand any or all of your unresolved problems.
  • The midterm exams, as well as the final, are given in the lecture hall.
  • Midterm 1 includes everything upto the material covered by the end of Sep 18.
  • Midterm 2 does not include the material of Midterm 1; but it does includes everything else up to the material covered by the end of Oct 30.
  • The final is [truly] comprehensive.

Important Dates
Aug 24 Classes begin
Sep 7 Labor Day Holiday
Sep 28 Midterm 1
Oct 12-17 Fall Break
Nov 9Midterm 2
Nov 26-27 Thanksgiving Break
Dec 11 Classes end
Dec 17 Final exam 8:00 a.m.-10:00 a.m. (BEH S 114)

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