Covariance of Discrete Random Variables

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SUMMARY

The discussion focuses on calculating the expected value E(XY), covariance Cov(X,Y), and correlation for discrete random variables X and Y based on their joint distribution. The joint distribution is presented in a table format, and the user expresses confusion regarding the integration of discrete variables. The solution involves using the formula E[XY]=∑∑ xyf(x,y), which simplifies the calculation process significantly. The user concludes that the organization of their textbook hindered their understanding of these concepts.

PREREQUISITES
  • Understanding of discrete random variables
  • Knowledge of joint probability distributions
  • Familiarity with expected value calculations
  • Basic concepts of covariance and correlation
NEXT STEPS
  • Study the properties of joint probability distributions
  • Learn about calculating expected values for discrete random variables
  • Explore the concepts of covariance and correlation in depth
  • Review examples of discrete random variable problems in textbooks
USEFUL FOR

Students studying probability theory, statisticians, and anyone involved in data analysis who needs to understand the relationships between discrete random variables.

Shackman
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Homework Statement


Find E(XY), Cov(X,Y) and correlation(X,Y) for the random variables X, Y whose joint distribution is given by the following table.

X
1 2 3
Y -1| 0 .1 .1

0| 0 .5 .6

1| .2 0 0

The Attempt at a Solution



The covariance and correlation fall into place quite easily once I have found E(XY). I have found E(X), E(Y), Var(X) and Var(Y) but none of these values help as the variables are not independent. So in trying to find E(XY), I am trying to set up the double integral, but am confused by the fact that the variables are discrete. The limits of integration are not obvious and it is not obvious how to integrate a discrete function either. Is there another way I can look at this?
 
Last edited:
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E[XY]=\sum\sum xyf(x,y)
 
That is so much better. Thanks. The organization of my book is pretty terrible, I'm just finding that equation now.
 

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