MATH 323 Probability
Description
Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Credits
3.0
Mathematics & Statistics
Summary
Subject | Semester |
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Annotations for Anderson's notes |
Fall 2011 |
Vocab list
Subject | Semester |
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Formulas to memorise |
Fall 2011 |