1 Let X1, X2, X3 be a random sample from a population with density otherwise. What is the form of...
please see picture 5. Let X1, X2,..., Xn be Bin(2,0) random variables with Θ {.45, .65). For testing Ho : θ 45 versus HA : θ-66, determine the following: (a) the form of the Neyman-Pearson MP critical region for a size a test (b) the sampling distribution of 2iI X (c) the value of ho for α A.05 when n-20. (d) π(8) for α .05 when n-20. a random sample of lid 5. Let X1, X2,..., Xn be Bin(2,0) random...
1 1 Let X be a single observation from a population with density function 0-e- for x = 0, 1, 2, ,00 0 otherwise, What is the form likelihood ratio test critical region for testing Ho : θ-2 versus Ha : 1 1 Let X be a single observation from a population with density function 0-e- for x = 0, 1, 2, ,00 0 otherwise, What is the form likelihood ratio test critical region for testing Ho : θ-2 versus...
Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. Consider the following estimator of μ: 1 = 0.15 X1 + 0.35 X2 + 0.20 X3 + 0.30 X4. Using the linear combination of random variables rule and the fact that X1, ..., X4are independently drawn from the population, calculate the variance of 1? A. 0.55 σ2 B. 0.275 σ2 C. 0.125 σ2 D. 0.20 σ2
Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. The observations are independent because they were randomly drawn. Consider the following two point estimators of the population mean μ: 1 = 0.10 X1 + 0.40 X2 + 0.40 X3 + 0.10 X4 and 2 = 0.20 X1 + 0.30 X2 + 0.30 X3 + 0.20 X4 Which of the following statements is true? HINT: Use the definition of...
Let X1, X2, X3, X4 be a random sample from a standard normal population. What is the probability distribution (give the name of the distribution and the value of any parameter(s)) of (a). (X1 - Xbar)^2 + (X2 - Xbar)^2 + (X3 - Xbar)^2 + (X4 - Xbar)^2 (b). ((X1 + X2 + X3 + X4)^2)/4
Let X1, . . . , Xn be a random sample from a population with density 8. Let Xi,... ,Xn be a random sample from a population with density 17 J 2.rg2 , if 0<、〈릉 0 , if otherwise ( a) Find the maximum likelihood estimator (MLE) of θ . (b) Find a sufficient statistic for θ (c) Is the above MLE a minimal sufficient statistic? Explain fully.
7.Let X1, X2, X3, and X4 be a random sample of observations from a population with mean μ and variance σ2. Consider the following estimator of μ:⊝1 = 0.15 X1 + 0.35 X2 + 0.20 X3 + 0.30 X4. Is this a biased estimator for the mean? What is the variance of the estimator? Can you find a more efficient estimator?
Let X1,X be a random sample from an EXP(0) distribution (0 > 0) You will use the following facts for this question: Fact 1: If X EXP(0) then 2X/0~x(2). Fact 2: If V V, are a random sample from a x2(k) distribution then V V (nk) (a) Suppose that we wish to test Ho : 0 against H : 0 = 0, where 01 is specified and 0, > Oo. Show that the likelihood ratio statistic AE, O0,0)f(E)/ f (x;0,)...
Let X1, X2, and X3 be a random sample from a discrete distribution with probability function g(x) =x/10 for x= 1, 2, 3, 4 and g(x) = 0 otherwise. What is P(X1< X2< X3)?
Let X1, ..., Xn denote an independent random sample from a population with a Poisson distribution with mean . Derive the most powerful test for testing Ho : 1= 2 versus Ha: 1= 1/2.