(10 pts) One generates a number r from a uniform distribution on the interval [0,6 One...
(10 pts) One generates a number z from a uniform distribution on the interval [0.0]. 2 by rejecting Ho if r 0.1 or z > 19. : θ One decides to test Ho : θ 2 against 10 (a) Compute the probability of to have type I error. (b) Find the power for this test if the true value of θ is 2.5.
A random variable, X, has uniform distribution on the interval [0,θ] where θ is unknown. A hypothesis test is as follows: H0: θ = 2 H1: θ ≠ 2 It has been decided to reject H0 if the observed value of x is x ≤ 0.1 or x ≥ 1.9. Part a: Find the probability of committing a Type I error. Part b: Suppose the true value of θ is 3. Find the probability of committing a Type II error....
1(a) Let Xi, X2, the random interval (ay,, b%) around 9, where Y, = max(Xi,X2 ,X), a and b are constants such that 1 S a <b. Find the confidence level of this interval. Xi, X, want to test H0: θ-ya versus H1: θ> %. Suppose we set our decision rule as reject Ho , X, be a random sample from the Uniform (0, θ) distribution. Consider (b) ,X5 is a random sample from the Bernoulli (0) distribution, 0 <...
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20. Let X1, X2, ..., X12 be a random sample from a Bernoulli distribution with unknown success probability p. We will test Ho: p = 0.3 versus Ha: p < 0.3, rejecting the null if the number of successes, Y = Dizi Xi, is 0 or 1. (a) Find the probability of a Type I error. (b) If the alternative is true, find an expression for the power, 1 – B, as a function...
D Chapter 15 Problem Set Suppose you are planning a study that will est the following one-tailed hypotheses: To evaluate the power of your study, you consider a specific alternative hypothesis, μ-Ha, where μ.> μ。. The following sketch shows two overlapping sampling distributions of X-one when Ho is true (and H1 is false), the other when Hy is true (and Ho is false). The distribution on the left has a mean of yo and represents the sampling distribution of X...
Suppose that a random sample of size 36, Y1,Y2,...,Y36, is drawn from a uniform pdf de ned over the interval (0, θ), where θ is unknown. Set up a large- sample sign test for deciding whether or not the 25th per- centile of the Y -distribution is equal to 6. Let α = 0.05. With what probability will your procedure commit a Type II error if 7 is the true 25th percentile?
2. Suppose that X|θ ~ U(0.0), the uniform distribution on the interval (09). Assuming squared error loss, derive that Bayes estimator of θ with respect to the prior distribution P(α.θο), the two-parameter Pareto model specified in (3.36), first by explicitly deriving the marginal probability mass function of X, obtaining an expression for the posterior density of θ and evaluating E(θ x) and secondly by identifying g(θ|x) by inspection and noting that it is a familiar distribution with a known mean.
5. For X follows Exp(6) (exponential distribution with parameter θ), a hypothesis test rejects the null hypothesis Ho : θ-1 when X k versus H1 : θ > 1. (a) Show that for any k greater than -log(0.05), the test has the probability of type I error less than 0.05 (b) Show that the power of the test at θ-10 is larger when k-1 than k-2. (c) Let k-_ log(0.05), calculate the power function in terms of θ when θ...
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(15 marks) 3. Xi, X2, Xs, X4 is a random sample from the Normal (0, 4) distribution. We want to test HO: θ 15 versus Hi: θ< 15. Let X_13x (a) Suppose we have two decision rules: Reject Ho if and only if () X <IS (II) X <12 Which one is better and why? (b) Instead of n 4, let n be an unknown. Let the decision rule now be: Reject Ho...
2. Let X1,.n be a random sample from the density 0 otherwise Suppose n = 2m+ 1 for some integer m. Let Y be the sample median and Z = max(Xi) be the sample maximum (a) Apply the usual formula for the density of an order statistic to show the density of Y is (b) Note that a beta random variable X has density f(x) = TaT(可 with mean μ = α/(a + β) and variance σ2 = αβ/((a +s+...