Content
Introduction and properties of random variables, probability distributions, expected value and variance, linear transformations of r.v.'s
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Concept of the binomial distribution, binomial PDF and CDF, expectation and variance of binomial distribution
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Introduction and definition of the normal distribution, standard deviations, normal and inverse normal calculations, z-values, normal standardization
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The discrete Poisson Distribution for modeling the number of occurrences over a certain interval
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Understanding how the sums of random variables behave, and how sums of large samples of any random variable is roughly normally distributed.
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