In this video, I’ll show you how to perform ANOVA on experimental data in Python 🐍 to identify significant factors. No programming expertise needed—I’ll walk you through the code with help from my AI assistant, so you can easily follow along!
WATCH THIS VIDEO TO LEARN:
- How to perform ANOVA in Python after an experiment.
- Steps to build and refine a model by identifying significant factors.
- Two model-building approaches: All Parameter (starting with all terms) and Stepwise Addition (adding likely significant terms).
- How to interpret key elements in the ANOVA table: degrees of freedom, sum of squares, F-value, and p-value.
📖 READ THE BLOG POST:
https://experimentaldesignhub.com/blog/doe_09c/
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