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Explores independence and covariance between random variables, discussing their implications and calculation methods.
Explores mean, variance, probability functions, inequalities, and various types of random variables, including Binomial, Geometric, Poisson, and Gaussian distributions.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Covers the Central Limit Theorem and its application to random variables, proving convergence to a normal distribution.
