Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

STAT 334: Introduction to Probability Models and Simulation

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Introduction to basic probability and principles of simulation. Emphasis is placed on formulation of models and simulation applications to statistical methodology. Topics include: basic probability rules. counting methods, discrete and continuous probability spaces, independence, conditional probability, expectation, variance, and limit theorems. Distributions covered include the binomial, hypergeometric, Poisson, normal, Gamma, Beta, multinomial, and bivariate normal. Intended primarily for students in the Statistics and Data Analytics Bachelor's program.

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Credits: 3

Prerequisites:

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