In the previous two lessons, you have learned how to implement confidence intervals and hypothesis tests using randomization procedures. In this lesson, we will return to these ideas, but introduce the "traditional" ways to conduct these tests through the central limit theorem. Additionally, we will discuss the one-line tests that can be used to quickly implement a hypothesis test on a given dataset. You will learn about the central limit theorem and its role in traditional statistical inference, as well as how and when to implement the one-line hypothesis tests.
By the end of this lesson, you should be able to:
differentiate between the Normal vs. t-Distrbution
express the relationship between these distributions to confidence intervals and hypothesis tests
recall the Central Limit Theorem
test hypotheses with pre-made Python functions
| Type | Assignment | Location |
|---|---|---|
| To Read | Lock et. al. 5.1, 5.2, & 6 | Text book |
| To Do |
Complete homework: H08 Even More Hypothesis Testing |
Canvas |
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