303: Proper Hypothesis Testing For Every Field
Super Data Science: ML & AI Podcast with Jon Krohn
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The Null Hypothesis for Election Interference
In a data science slash astrophysics example, let's say you have potentially fishy election results. How do we know something's wrong? Well, what if there is no election interference? And then you have to quantify, okay, so if there isNo election interference, what would we expect to see if there is election interference? Any model you have will generally have a free parameter. Whether or not you actually parameterize thatparameter is up to you. Once you have the null hypothesis and your hypothesis, you need to be able to write down the probability distributions that describe that.
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