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] = Show that the function is a joint density function and find the required probability. JEXY, osxs 2, 0sys vz f(x, y) = {2 lo, (0, elsewhere P(0 < x s 1, 0 s ys 1)

A First Course in Probability (10th Edition)
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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.
a. f(x, y) > 0 for all (x, y)
b.
f(x, y) dA = 1
c. P[(x, y) E R] =
(x, у) dA
Show that the function is a joint density function and find the required probability.
flx, y) = xy, o < x < 2, 0 s y s Vz
-ху,
elsewhere
P(0 < x s 1, 0 sys 1)
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. a. f(x, y) > 0 for all (x, y) b. f(x, y) dA = 1 c. P[(x, y) E R] = (x, у) dA Show that the function is a joint density function and find the required probability. flx, y) = xy, o < x < 2, 0 s y s Vz -ху, elsewhere P(0 < x s 1, 0 sys 1)
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