Learning Objectives

4.2. Learning Objectives#

4.2.1. Conceptual#

After this week, you should be able to:

  • Understand how and when to apply ANOVA.

  • Understand the key concepts including mean squares and the \(F\)-statistic.

  • Specify hypotheses and interpret the outcome of the test.

  • Understand how ANOVA relates to regression.

  • Understand when to use, and how to interpret, the Kruskal-Wallis test.

These points will be covered in the lecture.

4.2.2. Python Skills#

We will be working with statsmodels in Python again. This week, you will learn to:

  • Run one-way and two-way ANOVAs and interpret the output.

  • Compare the ANOVA table to the regression table.

  • Run a Kruskal-Wallis test and interpret the output.

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