Measure of disjointless of distributions

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SUMMARY

The discussion centers on the concept of "jointness" in joint distributions, specifically questioning its definition and relevance. Participants agree that correlation serves as a reliable measure of the relationship between random variables, effectively indicating the degree of jointness. The term "jointness" itself lacks established usage in statistical literature, making correlation the preferred metric for analyzing joint distributions.

PREREQUISITES
  • Understanding of joint distributions in probability theory
  • Familiarity with correlation coefficients and their interpretation
  • Basic knowledge of random variables
  • Experience with statistical analysis tools such as R or Python
NEXT STEPS
  • Research the mathematical definition of joint distributions
  • Learn about different types of correlation coefficients, such as Pearson and Spearman
  • Explore statistical software packages for calculating correlation
  • Investigate the implications of joint distributions in multivariate statistics
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Statisticians, data analysts, and researchers interested in understanding the relationships between random variables and the properties of joint distributions.

Dragonfall
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What is a measure of "jointness" of a joint distribution? Correlation?
 
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I have never seen the term "jointness". However correlation is a good indication of relationship between random variables.
 

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