5. Suppose Y represents a single observation from the probability density function given by: Soyo-1, 0,...
The probability density function of X is given by 0 elsewhere Find the probability density function of Y = X3 f(r)-(62(1-x)for0 < x < 1
5. Suppose X a single observation from a population with a Beta(0,1) distribution. (a) Suppose we want to test Ho :0 <1 against H :0>1 an we use a rejection region of X > 1/2. Find the size and power function for this test. Sketch the power function. (b) Now suppose we want to test H, :0 = 1 against H :0 = 2. Find the most powerful level a test. (Is there a Theorem we can use?) (C) Is...
Problem H5 Let X be a single observation (n-1) from the following distribution: f(rle)-o elsewhere NOTE:XBeta(0, 1) The following two hypotheses are being tested: 110 : e-2 vs Ha : ?-1. (a) Draw a graph of f(z | ?) when (i) Ho is true and when (ii) H. is true. Put both graphs on the same plot. Explain why a rejection region of the form (X<k) makes intuitive sense (b) Find k, so that the test has level a 0.05....
i need the solution with steps If x is a single observation taken from population has probability density function fx(x,0)-28x + 1-0, 0 < x < 1,-1 θ 1 Among all possible simple likelihood ratio tests for testing s the Ho:0 0 versus H:0-1, find the Most powerful test which sum of the sizes of the Type I and Type II errors If x is a single observation taken from population has probability density function fx(x,0)-28x + 1-0, 0
If the probability density function of X is given by n2 for 1<x< 2 fx ) = 10 elsewhere (a) Find, E[X], E[X2], and E[X3] (b) Use your answer to part (a) to find E[X3 + 3X2 - 2x + 5)
1. Consider the joint probability density function 0<x<y, 0<y<1, fx.x(x, y) = 0, otherwise. (a) Find the marginal probability density function of Y and identify its distribution. (5 marks (b) Find the conditional probability density function of X given Y=y and hence find the mean and variance of X conditional on Y=y. [7 marks] (c) Use iterated expectation to find the expected value of X [5 marks (d) Use E(XY) and var(XY) from (b) above to find the variance of...
please show all work thanks 4. A single observation Y from a population with /(1)-ete i. О < บく1, is made. (a) Find the most powerful > 0.90 İOO 0.025-level tavit for H0 : e-3 vs. Hai θ-5. (b) For the test in (a), tind power(5). (b) 0.04132 Ans. (a)
You have observed one observation X from a distribution with probability density function fx (x) and support X = {x : 0 〈 x 〈 1} (a) Derive the most powerful α 0.05 test for testing Ho : fx(x) = 2x 1 (0 < x < 1) versus H1 : fx (x) = 5c4 1 (0 〈 x 〈 1). Be sure to give the rejection region explicitly. (b) Compute the power of the test You have observed one observation...
Q. Suppose the joint probability density function of X and Y is (a) Show that the value of constant ?=12/11 (b) Find the marginal density function of X, i.e., fX(x). (c) Find the conditional probability density of X given Y = y, i.e., fX|Y(x|y). fxy(x, y) = s k(2 - x + y)x 1 0 0 < x < 1,0 = y = 1 otherwise
Find the probability that Y is greater than 3. Let Y have the probability density function f(y) = 2/y3 if y> 1, f(y) = 0 elsewhere.