Data Round Table: "Understanding hypothesis tests as linear models"

You are cordially invited to the first Data Roundtable in 2021 on Thursday, 18.11.2021, 3:00-4:30 pm.

Fridolin Haag will give a talk about "Understanding hypothesis tests as linear models".

Mini Abstract: Most of the common statistical hypothesis tests (T-test, ANOVA, ANCOVA, chi-square, etc) can be formulated as special cases of linear models (think y=a⋅x+b ). This means we can understand many tests by learning just one common framework, which may make our life as scientists much easier. In the session, I will explain the relationship between tests and linear models and we will calculate some examples to see their equivalence. You are welcome to bring cases of hypothesis testing you use in your work to discuss.

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