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.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Covers properties and transformations of discrete random variables, focusing on PMF and expectation.
