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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the importance of the normal distribution, the central limit theorem, and the robustness to the assumption of normality in inferential statistics. It then delves into the concept of probability, linking samples to populations, and introduces the binomial distribution through the 'Dishonest Gambler Problem'. The lecture explains how to calculate probabilities of different outcomes in coin tosses and demonstrates how a biased penny can be used to make money through betting strategies.