Suppose (Xn) is a sequence of iid random variables on R. Suppose that f is a density on R and suppose that for every a < b real numbers, n 1 [1 {X; € (a,b]} ª²> [ƒ(a) A(da) for Lebesgue measure A. Show that X₁ has density f.
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- 6. If two continuous random variables, X, Y, have their joint cdf, F(s,t), as given below, 1- e-s – se-s for 0 < sb) Suppose that the joint density function of random variables X₁ and X₂ is given by f(x₁, x₂)= = 0, 0< x₁ < x₂ <2 otherwise i) Draw a sketch of the area where f(x₁, x₂) is not zero. ii) Find P(X₂ < 1). iii) Find E(X₁X₂).Suppose that the random variable X has density ƒx (x) = 4x³ for 0 4X).Let X be a continuous random variable with density function(x) = 4 1. Determine F(5) 2. Determine p(1Suppose that the random variable X has density fx (x) = 4x³ for 0 X).Suppose that X, Y , and Z are random variables with a joint density f(x, y, z) = ( 6/((1+x+y+z)^4)) , when x, y, z > 0, and 0, otherwise. Determine the distribution of X + Y + Z.Let X₁, X2, X3, X30 be a random sample of size 30 from a population distributed with the following probability density function: f(x) = (0, -, if 0b) Suppose that X₁ and X₂ have the joint probability density function defined as f(x₁, x₂) = (x1x²,0x₁51, 0 ≤ x₂ ≤1 elsewhere Find: i) the value of w that makes f(x₁, x₂) a probability density function. ii) the joint cumulative distribution function for X₁ and X₂. iii) P (X₂ ≤ | X₂ ≤ ³).Let X be a continuous random variable with density f (x) = 24x-4 for x > 2. Then E (X) is equal tob) Suppose that X₁ and X₂ have the joint probability density function defined as f(x₁, x₂)= = {Wx1x2,5x11, 0 ≤ x₂ ≤ 1 elsewhere 0, Find: i) the value of w that makes f(x₁, x2) a probability density function. ii) the joint cumulative distribution function for X₁ and X₂. ii) P (X₁ ≤ 1X₂ ≤²).Suppose Y is a continuous random variable with density function fW) ={ c(2y + 1), –1Suppose that the random variables Y1 and Y2 have joint probability density function, f(y1, y2), given 6y y2, 0syı < y2, y1 + y2 < 2 fV1, y2) = - 0, elsewhere Derive the marginal density of Y1. Derive the marginal density of Y2.(Hint: this will have to broken down into two parts!!!) Derive the conditional density of Y2 given Y1 = y1. Find P(Y2 < 1.1 | Y1 = .60). %DSEE MORE QUESTIONSRecommended textbooks for youAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningElementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage LearningAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningElementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage Learning