In this lesson, you will learn two more means of conducting statistical inference: Chi-Square Tests and ANOVA tests. These tests will allow you to compare multiple groups within a dataset, but differ on the make-up of those gropus. Additionally, you will learn how to write hypotheses for these tests and use p-values to make conclusions.
By the end of this lesson, you should be able to:
identify when to use Chi-square tests
employ Chi-square tests in Python
recognize the role of ANOVA in experimental design
interpret the output of an ANOVA test in Python
| Type | Assignment | Location |
|---|---|---|
| To Read | Lock et. al. 7.1 (7.2 Bonus), 8.1 (8.2 Bonus), and 9.1 | Textbook |
| To Do |
Complete Homework: H09: Chi-square ANOVA Take Quiz 7 |
Canvas |
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