STAT 342
Introduction to Probability and Mathematical Statistics III
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: STAT 341. Offered: Sp.
Syllabus Downloads
Current Time Schedule
Winter, 2025
SLN/Section | Time | Location | Instructor |
---|---|---|---|
20738 A Open |
W 12:30PM - 2:20PM F 1:30PM - 2:20PM |
ARC 160 ARC 160 |
Ranjini Grove Kayla Irish |
COURSE IS ONLY FOR STAT MAJOR. ------ NO TIME CONFLICTS ALLOWED.
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