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Actuarial work involves modeling future contingent events that are uncertain in terms of timing, frequency and severity. Understanding the central tendency of a contingency and its possible distribution is critical for an actuary to help individuals and institutions manage risk. This course covers continuous univariate probability distributions, discrete multivariate probability distributions, the law of large numbers and the central limit theorem with an eye toward actuarial applications.
Those enrolled in Probability for Actuaries: Continuous Distributions will learn to: