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
20442 A
Open

M W F 11:30AM - 12:20PM

F 12:30PM - 1:20PM

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Ranjini Grove

Zhaoqi Li

NO ADD CODES FOR THE CLASS. PLEASE DO NOT CONTACT THE INSTRUCTOR. OFFERED VIA REMOTE LEARNING