Jointly continuous random dependent variables

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The discussion revolves around calculating the probability Pr(X≤3/4, Y≤1/2) for joint continuous random variables X and Y with a specified joint probability density function (pdf). Participants express difficulty in determining the correct limits of integration for dependent variables. A suggestion is made to visualize the region defined by the inequalities to better understand the integration limits. Clarification on the integration setup is emphasized, particularly regarding the order of integration and the boundaries. Understanding the geometric representation of the joint pdf is crucial for solving the problem accurately.
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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?
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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