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Fall 2013
Nov 30,2023
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

This is a calculus-based probability course. Topics include: axioms of probability, sample spaces, laws of probability, conditional probability, Bayes' Theorem, random variables, discrete and continuous distributions, expected value, variance, covariance, and moment-generating functions, multivariable distributions and functions of a random variable. The course will also include the standard convergence theorems, e.g., the law of large numbers and the central limit theorem.
0.000 TO 4.000 Credit hours
0.000 TO 4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Mathematics Department

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