Syllabus4321-5325Fall05

Syllabus4321-5325Fall05 - Fundamentals of Probability STA...

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Fundamentals of Probability STA 4321 (Section 4529) and STAT 5325 (Section 5566) Fall, 2005 Objective: This course is a broad introduction to the mathematical theory of probability. The objective of the course is to introduce the student to probability as a means of modeling phenomena in a nondeterministic world. Models include the binomial, geometric, hypergeometric, Poisson, normal, gamma, exponential, and beta distributions. Topics include discrete and continuous random variables, expectation and variance, frequency and density functions, moment generating functions, multivariate distributions, covariance, conditional expectation, functions of random variables, the law of large numbers, and the Central Limit Theorem. The sequence of courses STA 4321 – 4322 (or STA 5325 – 5328) is designed to give the student a firm foundation in the basic theory of probability and statistical inference. The sequence of courses STA 4321 – 4821 (or STA 5325 – 5823) is designed to give the student a firm foundation in the basic theory of probability and stochastic processes. Instructor:
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This note was uploaded on 12/15/2011 for the course STA 4321 taught by Professor Staff during the Spring '08 term at University of Florida.

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Syllabus4321-5325Fall05 - Fundamentals of Probability STA...

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