Lecture 8: Heteroscedasticity

February 5, 2026

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Heteroscedasticity - part 1

Parametric tests are those that assume parameters about the statistical population such as normality and homoscedasticity.

In this lecture, we will:

1. Understand how heteroscedasticity affects ANOVAs.

2. Learn how to detect heteroscedasticity in ANOVAs and linear models.

3. Demonstrate that ANOVA is a linear model and, as such, we can use general statistical approaches developed for regression to deal with heteroscedasticity.

Lectures

Slides will be posted here prior to the lecture