32. Python Code for Two-Way ANOVA (Analysis of Variance)

In this video, we dive into performing a two-way ANOVA using Python, a crucial statistical method for analyzing the impact of two independent variables on a dependent variable.

We start by organizing our dataset, which contains test scores influenced by different teaching methods and class types.

Using the statsmodels library, we fit an Ordinary Least Squares (OLS) model and compute the ANOVA table to derive sums of squares, degrees of freedom, and F-statistics.

We then interpret the results to determine significant effects and interactions while comparing calculated F-values to critical values from the F-distribution.

This step-by-step guide equips viewers with the knowledge to implement two-way ANOVA in Python, making it an invaluable resource for students, data analysts, and anyone interested in statistical analysis!

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