Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
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.
