STA 213
Introduction to Statistical Methods
Syllabus
Duke University
Fall 2000
MW 2:20-3:35
207 Engineering
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Instructor:
| Michael Lavine
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|---|
| Office: 218 Old Chemistry Building |
| Phone: 684-2152 |
| Email: michael@stat.duke.edu |
Office Hours: by appointment or drop in
Teaching Assistant:
|
Name
|
Email
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Phone
|
Office Hours
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Office Location
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|---|
| Maria De Iorio | maria@stat.duke.edu |
684-4558 | 12:00-1:00 Wednesdays | 223A Old Chem |
The Course:
The text will be Statistical Inference by George Casella and
Roger Berger. Much of the same material can also be found in other
texts, notably Probability and Statistics by DeGroot, which has
been used as the 213 text in the past. I plan to cover Chapters 2-9
of Statistical Inference. I will assume that you know Chapter 1.
We will take a theoretical approach. Calculus will be important. We
will not look at data except to illustrate ideas from the text. You
will not have to use a computer.
I plan to spend the first part of each class period in a quick
overview of the day's material, and the last part of the period in
working problems.
I hope you will feel free to talk to me anytime about the class,
either with questions about the material or with comments about the text
or the way the course is conducted.
Assignments and Grading:
There will be no quizzes or exams. Instead, I want you to work
problems from the book. I will assign one problem to be turned in
each day of class. You may work on problems together, but write up
the solutions on your own. In addition, I will assign two people each to
present a worked problem at the end of each class. Your grade will
be based on your written work and oral presentations.
Advice:
Read the book. Work lots of problems. Write clearly, succintly and to the point. Work lots of problems.
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Last updated Aug. 30, 2000 by Michael Lavine