A joint density function of the continuous random variables x and y is a function f(x, y) satisfying the following properties. a. f(x, y) 2 0 for all (x, y) b. f(x, y) dA = 1 c. P[(x, y) E R] = Кх, у) dA Show that the function is a joint density function and find the required probability. Ixy, osxs 2,0 sys Võ f(x, y) = {6" (o, P(0 SxS 1,0sys 2) elsewhere

Calculus: Early Transcendentals
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Author:James Stewart
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Chapter1: Functions And Models
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A joint density function of the continuous random variables x and y is a function f(x, y) satisfying the following properties.
а. f(x, у) 2 0 for all (x, y)
b.
f(x, у) dA 3D 1
с. Р[(х, у) E R] 3
f(x, у) dA
Show that the function is a joint density function and find the required probability.
f(x, у) %3D
Exy, 0 sxs 2, 0 < y s V6
6
elsewhere
P(0 < x s 1, 0 < y< 2)
Transcribed Image Text:A joint density function of the continuous random variables x and y is a function f(x, y) satisfying the following properties. а. f(x, у) 2 0 for all (x, y) b. f(x, у) dA 3D 1 с. Р[(х, у) E R] 3 f(x, у) dA Show that the function is a joint density function and find the required probability. f(x, у) %3D Exy, 0 sxs 2, 0 < y s V6 6 elsewhere P(0 < x s 1, 0 < y< 2)
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