Lecture

Statistics essentials: ANOVA

In course

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Description

This lecture covers the essentials of Analysis of Variance (ANOVA), focusing on assessing the impact of categorical variables on quantitative outcomes, illustrated with a dataset about cars. It explains the concept, calculations, assumptions, and interpretation of ANOVA results, including the F-ratio and p-values. The lecture also discusses how to handle deviations from normality and equality of variances, with practical examples and tests in R.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_4b8l0tjb

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

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