Statistics Essentials: Two-way ANOVA

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Description

This lecture covers the essentials of Two-way ANOVA, focusing on calculating decision variables, determining p-values, and checking assumptions like normality and equal variances. The instructor uses a dataset about cars to illustrate the concepts.

Instructors (2)

Official source

https://mediaspace.epfl.ch/media/0_58pk1rmv

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Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher. ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation.

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