If the joint density function of X and Y is f(x, y) = c(x – y )eAx, with 0 < x < co and -x < y < x, find each of the following. (a) The conditional probability density of X, given Y = y > 0. Conditional density fxjY (x, y) = (Enter your answer as a function of x, with y as a parameter.) (b) The conditional probability distribution of Y, given X = x. Conditional distribution Fyx (y|x) = (for -x
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- Let 3x2, 0The random variable Xi , i = 1, 2, models the proportion of type i switches on a panel that are turned off during a training exercise. The joint probability density function of X1 and X2 is (attached): Find the Covariance of (X1 , X2).1. A continuous random variable X is defined by (3+x) f(x) - 3sxs-1 %3D 16 (6-2r) -1sxs1 16 (3-x) -1sxs3 16 a. Verify that f(x) is density. Explain b. Find the mean 2. If the probability density function of random variable is given by f(x) = wch 1srs2 sech x a. Find the mean b. Find the total area 3. If the probability density function of random variable is given by f(x) = sinh 2x 1sxs2 a. Find the mean b. Find the total area c. Illustrate the graph (use bell shaped figure) II IIThe probability density function of X is given by the following table: X 2. 3 4 5 P(x) K 3K 5K 7K 9K 11K 13K Find (i) P (X 0.3 ?A system receives entities according to the following density function: f(x) = 2(x − a) = (b − a), a ≤ x ≤ b, x ≥ 0 - and f(x) = 0 otherwise. 1. Derive the cumulative distribution function for a=3, b=5; 2. Plot the density and cumulative functions for a sample from population x: {0,1, 2, 3, 4,5,6,7,8,9,10}; 3. Derive the equation of the random variate X when a random uniform number is generated U using Inverse Method. Use EXCEL to check your answersLet X be a positive random variable having the probability density function fx(x) and 1 Y = be a decreasing function for 0Prove the discrete case for Let X be a random variable with pdf f(x). If a and b are any two real numbers, then E(aX + b) = aE(X) + b.The random variables X and Y have a joint probability density function given by f(x, y) = way, 0 < x < 3 and 1 < y < x, and 0 otherwise.The life lengths of two transistors in an electronic circuit is a random vector (X; Y) where X is the life length of transistor 1 and Y is the life length of transistor 2. The joint probability density function of (X; Y) is given by x 2 0, y 2 0 fx.,fx.v) = 20 else Then the probability that the first transistor burned during half hour given that the second one lasts at least half hour equals Select one: a. 0.606 b. 0.3935 C. 0.6318 d. 0.3669 e. 0.77721. A continuous random variable X is defined by (3+x) f(x) - 3 sxs- 1 %3D 16 (6-2r) -1sxs1 16 (3-x) -1sxs3 16 a. Verify that f(x) is density. Explain b. Find the mean IILet X and Y be independent random variables with joint probability density function fxy(x, y) = 1/3 (x + y), 0 < x <= 2, and 0 < y<= 1, and 0 otherwise. The marginal pdf fx(x) is given by O a. O b. O c. O d. (2 +2X)/3 (2 + 2X)/3 (X+1/2)/3 (X+1/2)/3 0 < X<= 2 0< X<= 1 0 < X<= 1 07. Let X and Y denote two continuous random variables. Let f(x,y) denote the joint probability density function and fx(x) and fy (y) the marginal probability density functions for X and Y, respectively. Finally let Z = aX + bY, where a and b are non-zero real numbers. (e) Derive an expression for Cov(Z) as a function of Var (X), Var(Y) and Cov(X,Y). [You may use standard results relating to variance and covariance without proof, but these should be clearly stated.]Recommended textbooks for youCalculus For The Life SciencesCalculusISBN:9780321964038Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.Publisher:Pearson Addison Wesley,Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageCalculus For The Life SciencesCalculusISBN:9780321964038Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.Publisher:Pearson Addison Wesley,Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage