Python 13: Perform ANOVA in Python | One-Way & Two-Way ANOVA Step-by-Step
📊 Welcome to Python 13!
In this tutorial, you will learn how to *perform ANOVA (Analysis of Variance) in Python* using powerful statistical libraries. Whether you're comparing group means or testing interactions between multiple factors, this step-by-step guide has you covered.
📌 What You'll Learn:
What is ANOVA and when to use it?
One-Way ANOVA with `scipy.stats`
Two-Way ANOVA with `statsmodels`
Visualizing group differences with boxplots
Interpreting F-statistics and p-values
Post-hoc tests (Tukey HSD) for pairwise comparisons
📦 Python Libraries Used:
`pandas`
`scipy.stats`
`statsmodels.api`
`matplotlib.pyplot`
`seaborn`
🎓 Ideal For:
✔️ Data Science & Statistics Students
✔️ Researchers in Health, Social, and Life Sciences
✔️ Beginners working with Python for statistical analysis
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