

STAT 051. ProbabilityIntroduction to the mathematical theory of probability. Topics include sample spaces and events, conditional probability and Bayes' theorem, univariate probability and density functions, expectation and variance, moment generating functions, Binomial, Negative Binomial, Poisson, Normal, t, Gamma and Beta distributions, joint, marginal and conditional distributions, independence, transformations, the multivariate Normal distribution, the law of large numbers and the central limit theorem. Prerequisite: A grade of C or better in MATH 033 , MATH 034 , or MATH 035 ; or permission of the instructor. Natural Science and Engineering 1 credit. Fall 2018. Drellich. Fall 2019. Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematicsstatistics
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