Jointly continuous random dependent variables

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SUMMARY

The discussion centers on calculating the probability Pr(X≤3/4, Y≤1/2) for jointly continuous random variables X and Y with the joint probability density function (pdf) f(x,y) = 6(1-y) defined for the region 0≤x≤y≤1. The key challenge identified is determining the correct limits of integration for dependent variables. The correct approach involves visualizing the region defined by the joint pdf to establish the appropriate bounds for integration.

PREREQUISITES
  • Understanding of joint probability density functions (pdfs)
  • Knowledge of integration techniques for dependent variables
  • Familiarity with probability theory concepts
  • Ability to visualize geometric regions in probability
NEXT STEPS
  • Study the properties of joint probability density functions
  • Learn about setting limits of integration for dependent random variables
  • Explore graphical methods for visualizing probability regions
  • Practice solving problems involving joint distributions and integration
USEFUL FOR

Students in statistics or probability courses, educators teaching joint distributions, and anyone looking to deepen their understanding of continuous random variables and their integration.

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Homework Statement



Let X and Y be rv's with joint pdf

f(x,y) = 6(1-y) for 0≤x≤y≤1 and 0 elsewhere

find Pr(X≤3/4, Y≤1/2)

Homework Equations





The Attempt at a Solution



Ok I am having trouble with finding the right limits of integration for dependent variables. If we let the inner integral be for x would the limits be 0 to y? Then would y be 1/2 to 1?
 
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DotKite said:

Homework Statement



Let X and Y be rv's with joint pdf

f(x,y) = 6(1-y) for 0≤x≤y≤1 and 0 elsewhere

find Pr(X≤3/4, Y≤1/2)

Homework Equations





The Attempt at a Solution



Ok I am having trouble with finding the right limits of integration for dependent variables. If we let the inner integral be for x would the limits be 0 to y? Then would y be 1/2 to 1?

No. Have you drawn a picture of the region?
 

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