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# Statistics Course Descriptions

2153 STATISTICAL METHODS
Fundamental concepts of probability, random variables and basic distributions, sample means and variances, statistical inference for means including both large sample theory and small sample theory, linear regression and correlation, use of commercial software statistical packages. (Prerequisite: MATH 1513)
3363 PROBABILITY THEORY
Sets, probability in finite and infinite spaces, counting methods, random variables, probability distributions, game theory. (Prerequisite: MATH 2215)
4353 MATHEMATICAL STATISTICS
Design of experiments and investigations, statistical inference, probability and combinational methods, discrete and continuous distributions, expected values, sampling, point estimation. (Prerequisite: MATH 2215)
4463 PROBABILITY THEORY II
Probability distributions, jointly distributed random variables, multinominal probability laws, moment-generating functions, limit theorems, stochastic processes. (Prerequisite: STAT 3363 or STAT 4353)
4970 SPECIAL STUDIES
4980 SEMINAR
5153 STATISTICAL ANALYSIS
Study of various statistical procedures and routines utilized in data analysis and hypothesis testing including simple and multiple regression analysis and nonparametric statistics. (Prerequisite: STAT 2153 or equivalent)
5970 SPECIAL STUDIES
5980 SEMINAR