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Probability and Random Variables

Massachusetts Institute of TechnologyUnited States18.600
Free, no sign-up neededFall 2019English
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This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.

Description from MIT OpenCourseWare.

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