Covers random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Explores mean, variance, probability functions, inequalities, and various types of random variables, including Binomial, Geometric, Poisson, and Gaussian distributions.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
