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