Mathematical Statistics 361/362: Introduction to Mathematical Statistics I and II.

Mathematical Statistics 361/362:
Introduction to Mathematical Statistics I and II
Fall 1998 and Spring 1999

Meeting time: Monday, Wednesday and Friday from 8:30 AM to 9:20 AM in BUS S230.

Instructor: Eric Key

Statistics is the tool which allows us to make rational decisions under uncertain conditions. For example, suppose a coin is tossed ten times, and it comes up heads seven times. Is the coin fair? Big deal you say. Instead, suppose 99 out of 100 hospital emergency generators start. Is the design reliable? From the point of view of statistics, these are the same question. This course is the first half of a year long course designed to give you the tools to answer this question, and others, as well as to help you understand how these tools are constructed, and what their limitations are. More detail can be found in my first lecture.

Texts for the course are

The text by Ash is out of print and we will get copies from the bookstore. Both texts will be available on two hour reserve at the library shortly after the begining of classes.

We will have to synchronize the material from both texts so here is how we can do it.

To be prepared for this course you must have some background in elementary calculus. The ability to write simple computer programs or to use MAPLE will be helpful, but is not essential. If you have any doubts about your preparation, contact me .

If you are interested in preparing for the actuarial exams or simply want more practice in solving statistics problems, Professor Jugal Ghorai conducts a review session for the probability and statistics portion of the actuarial exams on Tuesdays from 11:00 AM to 1:00 PM in EMS E408.

Homework Assignments Homework is due on Wednesdays at the beginning of class. For other homework requirements see the course handout.

Your midterm examinations this spring will be take-home assignments, and will, in some way, resemble term papers. Midterm 1 is due on Monday, March 8, 1999, and concerns hypothesis testing in the family of Gamma distributions.

Additional lecture notes:

Here are the ground rules for homework, grades and so on.