2022 Spring Term
This course will cover moment generating functions; multivariate probability distributions including moments of linear combinations of random variables and conditional expectation; functions of random variables; sampling distributions and the Central Limit Theorem; the theory and properties of estimation; confidence intervals; and the Neyman-Pearson Lemma, likelihood ratio tests and common tests of hypotheses.
Other Requirements: PREREQ: MATH 255 WITH A GRADE OF C OR BETTER AND MATH 343 WITH A GRADE OF C OR BETTER
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
|Section Details||Meeting Details & Topic||Instructor||Syllabus|
|01/18 - 05/06 (1)||MTuWTh 11:00 AM - 11:50 AM||