Summary

This chapter was an intense one. Congratulations on finishing it!

First, we covered the concept of the hypothesis, including the basic concepts of hypotheses, such as the null hypothesis, the alternative hypothesis, and the P-value. I spent quite a bit of time going over example content to ensure that you understood the concept of the P-value and significance levels correctly.

Next, we looked at the paradigm of hypothesis testing and used corresponding library functions to do testing on various scenarios. We also covered the ANOVA test and testing on time series.

Toward the end, we briefly covered A/B testing. We demonstrated the idea with a classic click rate example and also pointed out some common mistakes.

One additional takeaway for this chapter is that in many cases, new knowledge is needed to understand how a task is done in unfamiliar fields. For example, if you were not familiar with time series before reading this chapter, now you should know how to use...