Summary
In this chapter, we covered the basics of common discrete and continuous probability distributions, examined their statistics, and also visualized the PDFs. We also talked about joint distribution, conditional distribution, and independency. We also briefly covered power law and black swan behavior.
Many distributions contain parameters that dictate the behavior of the probability distribution. Suppose we know a sample comes from a population that follows a certain distribution; how do you find the parameter of the distribution? This will be the topic of our next chapter: parametric estimation.
