One-way, Two-way ANOVA Analysis with Python - Statistics
In this video, we dive deep into the theory and application of ANOVA (Analysis of Variance) using Python, focusing on real-world marketing datasets.
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Learn how to perform One-way, Two-way ANOVA with the ols function from the statsmodels library.
We’ll cover:
-A clear explanation of ANOVA theory and its importance in statistical analysis.
-A detailed walkthrough of a Three-way ANOVA using key factors like Gender, Location, and Marketing Channel Type.
-Understanding the model summary output and interpreting key statistics.
-A comparison of Sequential vs Marginal Sum of Squares in ANOVA, and how each impacts results.
-How to incorporate Age as a continuous variable in your ANOVA analysis.
-Hypothesis testing and how it relates to assumptions and outcomes.
Whether you’re a data science beginner or looking to strengthen your statistical analysis skills, this video will guide you through these essential techniques.
With clear explanations and hands-on coding examples, you’ll learn how to apply analysis in Python to gain actionable insights from your data.
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