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This lecture covers the basics of probability distributions, including probability density functions, mean, variance, and properties of random variables. It explains concepts such as expectation, variance, characteristic functions, and moments of random variables. The lecture also delves into specific distributions like Bernoulli, Binomial, Geometric, Poisson, Uniform, Exponential, and Gamma distributions, highlighting their characteristics and applications.
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