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Math475: Statistical Computation(Fall 2009) |
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Instructor |
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Quick Links Guide to using
SAS (by Prof. Sawyer) |
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Office |
Cupples I, Room 205 |
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Phone |
935-5703 |
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Email |
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Time and location |
11:30am-1pm Tuesday and Thursday,
Cupples I, Room 113 |
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Office hours |
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Textbook |
Ronald Cody and
Jeffrey Smith, Applied statistics and
the SAS programming language, 5th edition, Pearson Prentice Hall,
2004, ISBN 0-13-146532-5 |
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Reference Books |
Good books for reviewing elementary
statistics A. J. Tamhane and D. D. Dunlop, Statistics and Data
Analysis from Elementary to Intermediate, Prentice-Hall, 2000 |
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Description |
Introduction to SAS and SAS
programming; contingency tables and Mantel-Haenszel tests; general linear
models in SAS; simple, multiple,
and stepwise linear regressions;
ANOVAs, interactions and nested designs; mixed-effect models; logistic
regression; topics chosen from
principal components analysis, clustering analysis, discriminant analysis, and
survival analysis. |
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Prerequisite |
Math 320 and Math 493 or their
equivalents. Math 493 may be taken concurrently. |
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Grading |
There
will be around five homework sets, one midterm, and a takehome final. Grades
will be based on the homework sets (50%), on the midterm (20%), and on the
takehome final (30%). Cr means D or better if you elect “Credit/No Credit.” Then
your letter grade is determined as follows. The A range will be (90, 100],
the B range will be [80, 90), the C range will be [70, 80), and the D range
will be [60, 70), with plus and minus grades at the top and bottom 10% of
each of these ranges. (If you are registered pass/fail, you must average at
least 70 to pass.) |
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Exams |
The
midterm exam is in class on Thursday, October 22. The
takehome final exam is due |
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Some useful links |
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