Syllabus Math 441-442 Sp05

Syllabus Math 441-442 Sp05 - Math 441/442: Engineering...

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Math 441/442: Engineering Statistics I & II, Spring 2005, 2 Credits Each, SDSMT Finding Your Instructor Roger Johnson ("Roger" or "Mr. Johnson" is fine), McLaury 308 (inner office) email:, web: (this page and solutions to selected homework problems are available via the link "Course Syllabi") phone: 394-2471 (math/cs) (Tentative) Office Hours MWF 11-12, 2-3 Th 2-3 Class meetings are MWF in EP 253, MWThF 1:00 - 1:50, January 12 through March 4 for Math 441, and March 12 through April 29 for Math 442. Holidays occur January 17, February 21, March 7-11, March 25,28 (29 class meetings in Math 441, 25 class meetings in Math 442). The last day to drop for 100% refund is Thursday, January 20; the last day to drop with a 'W' is Tuesday, April 5. The final exam for Math 441 is on Friday, March 4 during classtime; the final exam for Math 442 is on Thursday, May 5, 12:00 - 1:50. Prerequisites Math 225 for Math 441, Math 441 for Math 442. Course Description (From the catalog) Math 441: An introduction to the core ideas in probability and statistics. Computation of probabilities using, for instance, counting techniques and Bayes' rule. Introduction to discrete and continuous random variables, joint and conditional distributions, expectation, variance and correlation, random sampling from populations, hypothesis tests and confidence intervals, and least squares. This course is the first in a sequence of two two-credit mini-courses in probability and statistics offered in a single term, the second being Math 442.
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(Tentative text sections: Chapter 2, 1.3, 1.4 (skip material on boxplots), 3.1 - 3.4, 3.6, 1.2, 4.1, 4.2, 4.3, 5.4, t-tests - selected portions of 8.1,8.2,8.4, simple linear regression - selected portions of 12.1,12.2,12.5.) Math 442: In part, covers topics from Math 441 in more depth including additional standard distributions used to model real-world phenomena, additional standard hypothesis tests and confidence intervals. Other topics include building multiple regression models, parameter estimation, and reliability. Selected non-parametric and computer-intensive methods may also be covered. This course is the second in a sequence of two two-credit mini-courses in probability
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Syllabus Math 441-442 Sp05 - Math 441/442: Engineering...

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