R: Predictive Analysis

Summary

In this chapter, we took a detour through probability land. You learned some basic laws of probability, about sample spaces, and conditional independence. You also learned how to derive Bayes' Theorem and learned that it provides the recipe for updating hypotheses in the light of new evidence.

We also touched upon the two primary interpretations of probability. In future chapters, we will be employing techniques from both those approaches.

We concluded with an introduction to sampling from distributions and used two—the binomial and the normal distributions—to answer interesting non-trivial questions about probability.

This chapter laid the important foundation that supports confirmatory data analysis. Making and checking inferences based ...