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- 1) If Var(X- Y) = 2, Var(X+ Y) = 4, E(X) = 3 and E(Y) = 1, than what is E(XY)? 2) IfX and Y are independent random variables with, E(X)%30%3D E(Y), show that Var(XY) Var(X) x Var(Y). %3D8. Suppose that X₁, X₂, ..., X₂ is a random sample available from a population distributed as the Bernoulli with parameter 0. (a) Find the Cramer-Rao lower bound variance for the estimator of 0. (b) Using the invariant property of maximum likelihood estimators, i. Find the estimator of 0² and show whether or not it is unbiased. ii. Find the Cramer-Rao lower bound variance for the estimator of 02 and its absolute efficiency.X is a discrete random variable such that the possible values are {a, a+1, a+2, ... b-1, b}. The random variable has a mean of 7 and a variance of 4. What is the Pr(X<=6|X>4)?
- For a random variable X, suppose that E[X] = 1 and Var(X) = 5. Then %3D (a) E[(2 + X)²] = (b) Var(2 + 3X) = Netsu rtiol orodit on this problemLet the random variable X be defined on the support set (1,2) with pdf fX(x) = (4/15)x3, Find the variance of X.Imagine a family member looks over your shoulder as you look at the variance equation Σki=1(xi − μ)2P(X = xi) and asks why the P(X = xi) term is there. What would you say?
- !Suppose that X₁,..., Xn are i.i.d. from a normal population with mean μ and variance o². Calculate the expected value and the variance of the sample mean X and find the distribution of √n(X − µ).Show that the characteristic function of a Gaussian random variable with zero mean and variance o² is (= x (@) = exp -0² w² 2
- Let X11 X12, Xini and X21, X22, X2n2 be two independent random samples of size n₁ and n₂ from two normal populations N(₁, 2) and N(2, 2) respectively. (a) Derive the maximum likelihood estimators (mle's) of all the parameters in the first population (X₁). Using analogy, state the mle's of the parameters of the second population. (b) Find the pooled estimator of the common variance when it is assumed that of = = ². Suggest an unbiased estimator of o². |In a large lot of manufactured items, 10% contain exactly one defect and 5% contain more than one defect. If ten items are randomly selected from this lot for sale, the repair cost total Y1 +3Y2, where Y1 denote the number among the ten having one defective and let Y2 denote the number with two or more defects. Find the expected value and variance of the repair cost. Assume that Cov(Y1, Y2) =-0.05.Suppose that Y₁ is a negative binomial random variable with p= .75 and r = 6, Y₂ is a random variable with mean -5 and variance 11, and Y3 is a gamma random variable with 1.6 and a = 5.9. Further suppose that all of these random variables are independent. (a) What is E[2Y₁ − 6Y2 + 5Y₁Y3]? (b) What is the variance of 3Y₁ +5Y2 - 8Y3? (c) What is the mgf of 7Y₁ +4Y3? 0 =