How Do You Solve for Conditional Variance with a Given Joint Distribution?

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SUMMARY

The discussion focuses on calculating the conditional variance Var[Y|X=x] using a specified joint distribution function f(x,y) = 2x for 0 PREREQUISITES

  • Understanding of conditional variance in probability theory
  • Knowledge of joint distribution functions
  • Familiarity with continuous probability distributions
  • Ability to derive conditional density functions
NEXT STEPS
  • Study the derivation of conditional density functions from joint distributions
  • Learn how to compute conditional variance using specific examples
  • Explore the properties of continuous random variables
  • Review the application of the law of total variance in probability
USEFUL FOR

Students preparing for probability exams, educators teaching probability theory, and anyone seeking to deepen their understanding of conditional variance and joint distributions.

waealu
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I am working on studying for a probability exam and I just came across conditional variance, but I can't find anything in my materials for how to solve it.

If I want to find the conditional variance of Y given that X=x, or Var[Y|X=x], how would I solve it? I am given a continuous distribution function of:

f(x,y) = 2x, for 0<x<1, x<y<x+1
otherwise 0.

How do I set up this question?

Thanks!
 
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waealu said:
I am working on studying for a probability exam and I just came across conditional variance, but I can't find anything in my materials for how to solve it.

If I want to find the conditional variance of Y given that X=x, or Var[Y|X=x], how would I solve it? I am given a continuous distribution function of:

f(x,y) = 2x, for 0<x<1, x<y<x+1
otherwise 0.

How do I set up this question?

Thanks!

Set it up the standard way: first determine the conditional density f(y|X=x).

RGV
 

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