. Let X1, X3, ..., X20 be a random sample of size n=20 tro 20 from...
Let x1, x2,x3,and x4 be a random sample from population with normal distribution with mean ? and variance ?2 . Find the efficiency of T = 1/7 (X1+3X2+2X3 +X4) relative to x= x/4 , Which is relatively more efficient? Why?
4.19. Let Xl, X2, ... , X20 be a random sample of size n = 20 from an N(u, E) population. Specify each of the following completely (a) The distribution of (X (b) The distributions of X and Vn(X- ) 'E(X-H) (c) The distribution of (n - 1) S etibuti. 4.19. Let Xl, X2, ... , X20 be a random sample of size n = 20 from an N(u, E) population. Specify each of the following completely (a) The distribution...
Let X1, X2, . . . , Xn be a random sample of size n from a normal population with mean µX and variance σ ^2 . Let Y1, Y2, . . . , Ym be a random sample of size m from a normal population with mean µY and variance σ ^2 . Also, assume that these two random samples are independent. It is desired to test the following hypotheses H0 : σX = σY versus H1 : σX...
Let X,,X.X be a random sample of size n from a random variable with mean and variance given by (μ, σ2) a Show that the sample meanX is a consistent estimator of mean 1(X-X)2 converges in probability Show that the sample variance of ơ2-02- b. 1n to Ơ2 . Clearly state any theorems or results you may have used in this proof. Let X,,X.X be a random sample of size n from a random variable with mean and variance given...
Let X1,X2,X3,X4 be observations of a random sample of n-4 from the exponential distribution having mean 5, What is the mgf of Y-X1 X2 X3 X4? 4. 5. What is the distribution of Y? What is the mgf of the sample mean X = X+X+Xa+X1 ? 6. 7. What is the distribution of the sample mean?
2. Let Xi, X2, X3, X4,X5 be a random sample of size 5 from a popula- tion following the standard normal distribution (mean 0 and variance 1), and let X Σ5 i Xi/5. Let 6 be another independent observation from the same popula- tion. What is the distribution of (b) Z-Σ51 (Xi-X)2, Why?
2. (10pts) Let X1, X2, , X20 be an i.i.d. sannple from a Normal distribution with mean μ and variance σ2, ie., Xi, X2, . . . , X20 ~ N(μ, σ2), with the density function Also let 20 20 10 20 -20 19 i-1 ー1 (a) (5pts) What are the distributions of Xi - X2 and (X1 - X2)2 respectively? Why? (b) (5pts) what are the distributions of Y20( and 201 ? Why? (X-μ)2 2. (10pts) Let X1, X2,...
Let X1, X2, ..., Xn be a random sample of size 5 from a normal population with mean 0 and variance 1. Let X6 be another independent observation from the same population. What is the distribution of these random variables? i) 3X5 – X6+1 ii) W, = - X? iii) Uz = _1(X; - X5)2 iv) Wą +xz v) U. + x vi) V5Xe vii) 2X
please answer the questions easily Suppose X1, X2, X3 is a random sample from a normal population with mean μ and variance (a) I,'ind i.he variallex, of Y , x..:.: Xy/X.t as an ( tinai." r of μ (b) Find the variance of Z-A+x2+x3 as an estimator of μ. (c) Which estimator is more efficient (i.e. has the smallest variance)? Consider a random sample of size n from a normal population with known mean μ and unknown variance σ2. Let...
Suppose you have a random sample {X1, X2, X3} of size n = 3. Consider the following three possible estimators for the population mean u and variance o2 Дi 3D (X1+ X2+ X3)/3 Ti2X1/4 X2/2 X3/4 Дз — (Х+ X,+ X3)/4 (a) What is the bias associated with each estimator? (b) What is the variance associated with each estimator? (c) Does the fact that Var(i3) < Var(1) contradict the statement that X is the minimum variance unbiased estimator? Why or...