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.
Lecture
Central Limit Theorem: Illustration and Applications
Description
This lecture covers the Central Limit Theorem (CLT) and its applications in statistics. It explains how the CLT applies to independent and identically distributed random variables, showcasing how empirical densities converge to the normal distribution. The theorem states that as the sample size increases, the sample mean follows a normal distribution. Various examples and illustrations are provided to demonstrate the concept.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.