Q. 4 Let X and Y be two continuous random variables with following joint probability density function SK (x² + y²); 0< x< 1,0 < y<1 fxx(x,y) = }K 0; e.w. (i) Obtain K so that it is the joint probability density function; (ii) Find cumulative distribution function Fx,y(x,y); (iii) Find the following probabilities (a) P(X <;,Y <), (b) P(X > Y), (c) P(X +Y > 1) (iv) Graph pdf and cdf.

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Q. 4 Let X and Y be two continuous random variables with
following joint probability density function
fxx(x,y) = {K (x* +y^); 0<xs 1,0 < y < 1
0;
е. w.
(i) Obtain K so that it is the joint probability density function;
(ii) Find cumulative distribution function Fx,y(x, y);
(iii) Find the following probabilities (a) P(X<÷,Y<), (b)
Р(X 2 Y), (с) Р(X +Y 2 1)
(iv) Graph pdf and cdf.
Transcribed Image Text:Q. 4 Let X and Y be two continuous random variables with following joint probability density function fxx(x,y) = {K (x* +y^); 0<xs 1,0 < y < 1 0; е. w. (i) Obtain K so that it is the joint probability density function; (ii) Find cumulative distribution function Fx,y(x, y); (iii) Find the following probabilities (a) P(X<÷,Y<), (b) Р(X 2 Y), (с) Р(X +Y 2 1) (iv) Graph pdf and cdf.
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