Problem 2: Let Y denote the amount of gasoline stocked in a bulk tank at the beginning of a week and X denote the amount sold during the week. Let X and Y have joint density given by f(x, y) = 2,0 < x≤ y ≤1, f(x, y) = 0, elsewhere. Compute the probability P (2X
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- 5. Suppose that two continuous random variables X and Y have joint probability density function (e**y +e 2x-y) 15xs2,0sys3 elsewhere a. P( 3/2 s Xs2, 1SYS2) b. Are the random variables X and Y independent? c. find the conditional density X given Y = 0 d. Find the strength of the relationship and interpret the findings.7. Let X and Y be continuous random variables with joint probability density function given by fxy(xy): Sc, (0, 0 < x < y < 1 otherwise a) Find the value of c. b) Find the marginal distributions of X and Y. c) Find the conditional distribution of Y given X. d) Find the E(Y) and Var(Y).2. Let X and Y denote independent random variables with respective probability density func- tions fx(x) = 2x, 0In a car service station, there are two service lines. The random variables X and Y are the proportions of time that line 1 and line 2 are in use, respectively. The joint probability density function for (X, Y) is given by S{(r² + y°), Osx s1;0sy s1 {6. f(x, y) = elsewhere. (a) If Z=X+ Y, the sum of the two proportions, find E(Z) ; (b) Find E(XY ); (c) Find Var(X); (d) Find Cov(X, Y );There are two varieties of cucumbers - C1 and C2 which have different distributions of length. The joint probability density function of the length of the cucumber and category 1 is denoted by p(x, C1), and is a uniform distribution over the range (10cm, 30cm). Similarly p(x, C2) is a uniform distribution over the range (20cm, 50cm). What is the error of classification we will make if we assert that all cucumbers of length less than 25cm are of Variety C1 and all cucumbers of length greater than 25cm are of Variety C2?.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.C, D, and E7. The joint probability density function of two dimensional random variable(X,Y) is given 8. by f(x, y) = 7 xy, 1sxsys2 oitoupslo %3D = 0, elsewhere Find the marginal density functions of X and Y.3. Let X and Y be two independent random variables with identical probability density function given by e- for x > 0 f(x) = elsewhere. What is the probability density function of W= max{X, Y } ?c) Let Y₁, Y₂,..., Yn be a random sample whose probability density function is given by f(v:B)= 684 - fa 00 0, elsewhere 200 200 200 and suppose that n = 200, y = 20, y = 100, y = 250 and $ = 0.025. i=1 i) Derive the standard error of ß, se(B) = 0.0009, using MLE approach. ii) Find an approximate 95% Confidence interval for B.Q5. (10 marks) Suppose that the joint probability density function for X and Y is given by + 2y), 0 < x< 2,0 < y <1 f(x,y) = 4 0, Find the expected value, E(XY). %3D elsewhereУк. Suppose that Y₁. Y₂; Yn 15. 2 from Function random Sample a population with probability density f(y) = find the maximum BY 1-B B like hood ozy 21: B >0 Elsewhere Estimator of B