Today we’re going to introduce bayesian statistics and discuss how this new approach to statistics has revolutionized the field from artificial intelligence and clinical trials to how your computer filters spam!
Today, we’ll discuss how they can be used to figure out how many Bertie Bott’s Every Flavour Beans you could eat before getting the dreaded vomit flavored bean, and how they can help us make decisions when there is a little uncertainty – like getting a Pikachu in a pack of Pokémon Cards!
In this episode we’ll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information.
Today we’re going to discuss some problems with the logic of p-values, how they are commonly misinterpreted, how p-values don’t give us exactly what we want to know, and how that cutoff is arbitrary – and arguably not stringent enough in some scenarios.
In this lesson, students use probabilities and odds to analyze roulette payouts and debate the optimal strategy for winning the game (including not playing at all).