(RP04) Discrete Probability Basics in R

In this video, we discuss some of the fundamentals that one should know when wanting to do discrete probability models in the R programming language. We start by introducing factorials and combinations, seed setting, random samples with and without replacements, Bernoulli sequences, probability mass functions, expected value, second moments, variances, standard deviations, and graphs of PMF's for discrete random variables.

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