Overview

Overview

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.

Learning Outcomes

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

Lesson Roadmap

Questions?

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If you have questions, please feel free to post them to the General Questions and Discussion forum in Canvas. While you are there, feel free to post your own responses if you, too, are able to help a classmate.