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Finding a probability given joint p.d.f of the continuous random variables |
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| Jun7-11, 03:54 PM | #1 |
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Finding a probability given joint p.d.f of the continuous random variables
I'm having a trouble doing this kind of problems :S
Lets try this for example: The joint p.d.f of the continuous random variable X and Y is: f(x,y)= (2y+x)/8 for 0<x<2 ; 1<y<2 now we're asked to find a probability, say P(X+Y<2) I know i have to double integrate but how do I choose my integration limits and what do I do after I finish integrating? My Attempt at the solution is: P(X+Y<2) = \int_ \int (2y+x)/8 = 1 = \int [y^2/8 + xy/ 8] |
| Jun7-11, 04:22 PM | #2 |
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Recognitions:
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Inner integral of x, (0,2-y), outer integral of y (1,2).
or Inner integral of y, (1,2-x), outer integral of x (0,1). (For x > 1, y < 1). |
| Jun13-11, 12:03 PM | #3 |
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[tex]\iint_R 1\,dxdy[/tex] with appropriate limits for dxdy or dydx, whichever is easier. The only difference is that instead of integrating 1 and getting area, you integrate your joint density f(x,y) over the region. In your example the appropriate region is a triangle. More interesting would be if you wanted P(X+Y<3). Do you see that in that case you would to need to break the region into two parts as a dydx integral but not as a dxdy integral? Draw a picture and see. |
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