STAT 341
Introduction to Probability and Mathematical Statistics II
4.0 credits
Course Description
Brief review of: sample spaces, random variables, probability. Distribution: binomial, normal, Poisson, geometric. Followed by: expectation, variance, central limit theorem. Basic concepts of estimation, testing, and confidence intervals. Maximum likelihood estimators and likelihood ratio tests, efficiency. Introduction to regression. Prerequisite: either STAT 340 or STAT/MATH 394 and STAT/MATH 395; either STAT/ECON 311 or STAT/MATH 390; either a minimum grade of 2.5 in MATH 136 or MATH 327. Offered: W.
Current Time Schedule
Winter, 2021
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
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20442 A Open |
M W F 11:30AM - 12:20PM F 12:30PM - 1:20PM |
* * * * |
Ranjini Grove Zhaoqi Li |
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NO ADD CODES FOR THE CLASS. PLEASE DO NOT CONTACT THE INSTRUCTOR. OFFERED VIA REMOTE LEARNING
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