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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.
Official source
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