Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Introduces the concept of the distribution of a random variable and explores specific cases of discrete and continuous random variables.
