Lecture

Describing Data: Statistics and Hypothesis Testing

In course

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Description

This lecture covers descriptive statistics, quantifying uncertainty, and hypothesis testing. Topics include mean, variance, normal distribution, robust statistics, heavy-tailed distributions, and various probability distributions. It also discusses hypothesis testing, confidence intervals, Pearson's correlation coefficient, and Simpson's paradox.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_3s7r8zuo

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

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