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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 basics of descriptive statistics, hypothesis testing, p-values, confidence intervals, and common pitfalls. It emphasizes the importance of understanding the logic behind hypothesis testing and the interpretation of confidence intervals. The instructor discusses the mean, variance, and normal distribution, illustrating how these concepts are applied in data analysis. The lecture also delves into robust statistics, power-law distributions, and the significance of outliers in data analysis.