★ 3 (fi 6)(FIRST, 3-0-0)
Sample space, events, combinatorial probability, conditional probability, independent events, Bayes Theorem, random variables, discrete random variables, expected values, moment generating function, inequalities, continuous distributions, multivariate distributions, independence. Corequisite: One of MATH 209, 214 or 217.
LECTURE A1 (10230)
2022-05-09 - 2022-06-15
MTWHF 12:00 - 13:10 (CCIS L1-160)
★ 3 (fi 6)(SECOND, 3-0-0)
Functions of random variables, sampling distributions, Central Limit Theorem, law of large numbers, statistical models for the data, likelihood, parameters and their interpretation, objectives of statistical inference, point and interval estimation, method of moments, basic notions of testing of hypotheses, errors of the first and second kind, significance level, power, pvalue. Prerequisite: STAT 265. Corequisites: One of MATH 225 or 227, and one of MATH 215 or 317.
LECTURE B1 (20101)
2022-07-04 - 2022-08-10
MTWHF 13:30 - 14:40 (CCIS 1-160)