4-5. Suppose that X and Y have a joint probability density function f(x, y) = 3(x + y), for 0 < x < 1, 0 < y < 1, and 0 < x + y < 1, zero elsewhere. Let U = X + Y and V = X – Y. 4. Find the joint probability density function of (U,V), fu,v(u, v). Sketch the support of (U, V). 5. Find the marginal probability density functions fu(u) and fv(v).
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- 2. The continuous random variables X and Y have known joint probability density function f(x,y) given by 0sysxsl fxy(x,y)=y+1 0 otherwise where is a positive constant. a) Determine the value of the constant c that makes the above a valid joint probability density function. b) Using the result of part a), obtain now the marginal probability density function fx(x) of the random variable x. c) Using the result of part a), obtain now the marginal probability density function f(x) of the random variable y. d) Verify the results of parts b) and c) to make sure that the two probability density functions are valid. e) Are the two random variables statistically independent? f) Obtain the expected value E{XY}.SHOW ONLY THE SET-UP FORMULA AND GRAPH ITThe joint probability density function of X and Y is defined as f(r, y) = (1+2?)(1+y²) What is the probability that (X, Y) falls inside the square with vertices (0,0), (1,0), (1,1), and (0,1)? 16 O 1/2 O None of these. O 1/16
- 2. Let X and Y denote independent random variables with respective probability density func- tions fx(x) = 2x, 03. Suppose that X and Y are independent with X ~ N(0, 1) and Y~ N(0,4). Let U = X + Y and V = X - Y. a) Find the joint probability density function of (U, V), fu,v(u, v). b) Are U and V independent?If X, and X, are two random variables having joint density function 2. f(x,,x, ) = +8x,x,* ,0Sx, S 2,0s x,sI 8. Find i. P(X, I) P(X, <1/ X, <0.5) P(X,+ X, <1) ii. iii. iv.The probability density function of X is given by X 1 3 4 5 6 P(X) K 3K 5K 7K 9K 11K 13K Find (i) P (X 5) (iii) P (3 0.3.b) Let Y1, Y2.,Y5 be independent random variables with probability density function y 1 e 4 4 f(y)= ,y > 0 ,elsewhere 3 Determine the distribution and parameter of V = EY; using the method of moment i=1 generating function. Hence, find the mean of V using the moment generating function.Find the density of U = Y1 +Y2, where Y1 and Y2 are independent random variables with densities (yı – 1), 3 < Yı < 4, (y2 + 2), 0 < Y2 < 1, fy, (y1) : fy,(y2) = otherwise, otherwise.Recommended textbooks for youMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. FreemanMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman