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- Q4) The probability mass function of Y is f(y) = y/6 for y=1,2,3,4. Find the variance of Y.Let Xand Y be two continuous random variables with joint probability density [3x function given by: f(x.y)%D 0sysxsl elsewhere with E(X) = ECX)- EC) - EC*)= ;and E(XY) = 10 3 E(Y*) = - and E(XY) =; %3D Then the value of the variance of 2X+Y is: O 3/80 O 91/320 43/320 7/20Exercise 20. Let X1 and X2 be iid U(0,1) random variables. Find the joint probability density function of Y1 = X1+ X2 and Y2 = X2 – X1.
- Let X and Y be two continuous random variables with joint probability density (3x function given by: f(x,y)=D 0Let X and Y be two continuous random variables with joint probability density [3x function given by: f(x,y)= 0AsapSk(x + 4y) ,0 < x < 2, 0 < y < 1 Let f(x,y) = {K** ,otherwise be the joint probability density of X and Y. iv. Find the correlation coefficient of X and Y. V. Find the variance of Z = 6X + 8Y + 10.Suppose that X is a normal random variable with parameters u = 5 and o = 1. Define Y = X2 – 10X + 25. Then what is the probability density function of Y (fy(y)). Probability TheoryLet X and Y be two random variables with joint probability mass function: p(x,y) = 1/48 xy(1+y) ??? x=1,2,3 ??? y=1,2 p(x,y) = 0, Otherwise. Please enter the answer to 2 decimal places. What is the variance if (4-2X)?6) The random variables X and Y have joint density f( x, y) = x2-y2 for 1< x, 1s y and f( x, y) = 0 otherwise. %3! Compute the joint density of U = X /Y and V = X Y.3. Let X be a continuous random variable. Let f(x) = c(x − 1)³ and Sx = [1,3]. Hint: (x - 1)³ = x³ + 3x − 3x² - 1 (a) What value of c will make f(x) a valid density? (b) What is P(X = 2)? (c) Find E(X). (d) What is P(1 < X < 2)?Answer all three questions in this section 2. Let V and W be two random variables with joint probability density function given by fvw (v,w) = aw exp(-dv +(8-A)w²), w>0, v> w², where A, & are positive constants. (a) Find the value of a. (b) Consider the transformation X = WP, Y=V_W². Find the joint density of X and Y. Hence show that X and Y are independent exponential random variables. (c) State the distribution of AX + SY.SEE MORE QUESTIONSRecommended 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