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George Mason University |
STAT 344 - Probability and Statistics for Engineers and Scientists |
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Introduction to probability and statistics with applications to computer science, engineering,
operations research, and information technology. Basic concepts of probability, random variables
and expectation, Poisson process, bivariate distributions, sums of independent random variables,
correlation and least sqares estimation, central limit theorem, sampling distributions, maximum
likelihood and unbiased estimators, confidence interval construction, and hypothesis testing.
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| Semester: | Spring 2001 |
| Credits: | 3 |
| Grade: | A |
| Time: | M 4:30-7:10 |
| Room: | ENT 80 |
| Instructor: | Dr. Zoltan Papp |
| Books: | Fundamentals of Probability by Saeed Ghahramani
Probability and Statistics by Murray R. Spiegel |
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