Lecture
This lecture covers the concept of quantiles in a cumulative distribution function, defining the pth quantile as the unique value for which P(X ≤ x) = p. It also explores calculating expectations, variances, and quantiles for uniform and Pareto distributions, as well as transformations of variables using the inverse function theorem.