Exercise 4 (Paired test, known normality of the difference). Let X, Y be RVs. Denote E[X]...
part iii and iv Exercise 3 (Paired test, known variance of the difference). Let X, Y be RVs. Denote E[X] = Hx and E[Y] = My. Suppose we want to test the null hypothesis Houx = uy against the alternative hy- pothesis H :Mx My. Suppose we have i.i.d. pairs (X1,Y),...,(Xn, Yn) from the joint distribution of (X,Y). Further assume that we know the value of o2 = Var(X-Y). (i) Noting that X1 - Y1,...,xn - Yn are i.i.d. with...
4. Exercise Let X, Y be RVs. Denote E[X] = Hy and E[Y] =py. Suppose we want to test the null hypothesis Ho : Mx = uy against the alternative hypothesis Hi : 4x > uy. Suppose we have i.i.d. pairs (X1,Yı),...,(Xn, Yn) from the joint distribution of (X,Y). Further assume that we know the X - Y follows a normal distribution. (i) Show that exactly) T:= (X-Y)-(ux-uy) - tn-1), Sin (3) where s2 = n-1 [?-,((X; – Y;) –...
N(0,02). We wish to use a 1. [18 marks] Suppose X hypothesis single value X = x to test the null Ho : 0 = 1 against the alternative hypothesis H1 0 2 Denote by C aat the critical region of a test at the significance level of : α-0.05. (f [2 marks] Show that the test is also the uniformly most powerful (UMP) test when the alternative hypothesis is replaced with H1 0 > 1 (g) [2 marks Show...
Exercise 4.8: Suppose that X1, X2,..., Xn is a random sample of observations on a r.v. X, which takes values only in the range (0, 1). Under the null hypothesis Ho, the distribution of X is uniform on (0, 1), whereas under an alternative hypothesis, њ, the distribution is the truncated exponential with p.d.f. 0e8 where 6 is unknown. Show that there is a UMP test of Ho vs Hi and find, roximately, the critical region for such a test...
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,)...
3. Let X and Y denote the tarsus lengths of male and female grackles, respectively. Assume that X is Nux, ox) and Y is Nuy, o). Given that nx = 25, i = 34.68, $ = 4.88; ny = 29, y = 32.55 and 5 = 5.81, test the null hypothesis Ho: Mix = My against H :MX > Hy with a =0.01. Hint: you need to justify whether it is reasonable to assume same variance for the two samples...
Please answer this question using R 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...
Example 8.4 An automobile model is known to sustain no visible damage 25% of the time in 10-mph crash tests. A modified bumper design has been proposed in an effort to increase this percentage. Let p denote the proportion of all 10-mph crashes with this new bumper that result in no visible damage. The hypotheses to be tested are Ho: P = 0.25 (no improvement) versus Ha: p ? ? 0.25. The test will be based on an experiment involving...
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
MA2500/18 8. Let X be a random variable and let 'f(r; θ) be its PDF where θ is an unknown scalar parameter. We wish to test the simple null hypothesis Ho: 0 against the simple alternative Hi : θ-64. (a) Define the simple likelihood ratio test (SLRT) of Ho against H (b) Show that the SLRT is a most powerful test of Ho against H. (c) Let Xi, X2.... , X be a random sample of observations from the Poisson(e)...