Lecture

Estimating R: Example 100

Description

This lecture covers the limitations of correlation, probability, random variables, dependence, approximation, and statistical inference. It explains how correlation measures linear dependence and explores cases of strong nonlinear dependence with zero correlation. An example involving drawing balls from a bag is used to illustrate the concepts of expected value and variance.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_r46g7z87

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

Mathematics

Probability theory: Topics in probability theory

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