MAT3721 Probability & Statistics

Probability models and statistical tools form the language of mathematical statistics for analyzing data. The course describes probabilistic concepts and models of random variables and vectors, law of large numbers and central limit theorem, random walks, common probability distributions, and queuing theory. Statistical concepts include confidence intervals, hypothesis testing, and fits of distribution. Examples and methods are appropriate for scientists and engineers. Credits: 3.000

MAT 2751 Lecture Min Credits: 3.00