In section 5, we learn more about the continuous random variables and their distributions: Uniform Distribution, Normal Distribution, Exponential Distribution, Gamma Distribution, and Chi-Squared Distribution. We also learn about how to go from one pdf to another.

In section 6, we learn about joint probability distributions of TWO random variables (both continuous and discrete). In this section, we cover important parameters such as conditional pdfs, conditional expectations, covariance, correlation, and independence of two random variables.

In section 7, we learn that sample statistics (such as sample mean and sample standard deviation) are random variables by themselves. We learn more about sampling distributions and how to calculate probabilities concerning sample statistics.