In this chapter, you learned about the basic models used in data analysis. We studied how the cumulative distribution function and probability density function can be used to characterize a random variable and how to do computations using these tools, including calculating means, standard deviation, and variance and generating random variates.

We have seen examples of continuous and discrete random variables and studied two important cases: the Binomial distribution and its approximation by a Normal distribution. The chapter concludes with an overview of multivariate distributions.

In the next chapter, we will take a closer look at various ways of doing regression.