Let Y₁, Y₂,..., Y₁ denote a random sample from a population having a Poissondistribution with mean X₁. Let X₁, X2, . . . , Xm denote an independent randomsample from a population having a Poisson distribution with mean λ₂. Show thatthe most powerful a-level test for testing Ho: A₁ = A₂ = 2 vs. Ha: λ₁ = 1⁄, λ2 = 3has RR = {a Σ1 Y₁+bΣï1 X; < k'} for some constants a, b, k'. Do not solve it,but give an equation by which you might use a to find k'.

We’ll consider the null hypothesis versus the alternative hypothesis..An effective framework for…

Answered: Let Y₁, Y₂,..., Y₁ denote a random…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Let X1 and X2 are each independent Bernoulli random variable with probability of success p=0.2 and Y= X1 -3 X22. Compute the expected value of Y. Let X1 and X2 are each independent Exponential random variable with mean 5 and Y= X1 -3 X2 then Compute the value of variance of Y. Let X has Poisson distribution with mean 10. Compute correlation between X and -
A large population (consisting of measurements of diameters of ball bearings) has mean u and standard deviation o, neither of which is perfectly known. A random sample of size n = 25 observations will be taken, namely the diameters U1, U2, ·.., U25 will be observed. In other words, U1, U2, · .., U25 are independent and identically distributed random variables with u = E(U1) and Var(U1) = o². No further knowledge about the shape of the distribution is known. Define, 25 1 X 25 Ui 25 i=D1 (i) If someone says E(X 25) = 13, what information does he give you about u, if any? (ii) If someone says o = 5, what is Var(X25)? • (iii) What is the chance, approximately, that a sample of size n = 25 will have its mean, X25, smaller than the population mean u? In other words, find an approximation of P(X 25 < u). [Hint: see if the value of o is relevant or not to answer the question.] (iv) In part (iii) while approximating what theorem did you use, if any? • (v) What is the chance, approximately, that…
Let X. X , be a random sample of siren from a normal distribution with population mean 0 and population variance a>Ois unknown, that is N(0, ). Suppose that we define the following plvotal quantity (n-1)s where & and S' are the sample mean and the sample variance, respectively. Use the plvotal quantity (Q) to derive the (1- a) 100% confidence interval (C) for the unknown parameter (o) if the two critical values are q--n, a) and (n-1) (A) CI = (n8+(n-1)51 + n-1) s (8) CI - (C) CI - + (n-1) s (D) CI= O D O A O c O B
Consider the performance function Y= 2X1-2X2+8X3 are all normally distributed random variables with μΧ1 = 10.4 ; μΧ2 = 11.8 ; μΧ3= 11.5Vx1 = 4 % , Vx2 = 5% ; Vx3 = 8 % X1 X2 X3q = 1 0,8 6 X1 0,8 1 0,5 X2 -----> correlation of Matrix 0,6 0,5 1 X3 Y < 0; failure occurs 15 simulations Pf =? . Determine the probability of failure ? (Reliability of Structures)
Please note the question is: What is the distribution of the t-test statistic if m, n -----> ∞ ?
Suppose X1,..., Xn is a random sample from an exponential distribution with mean e. If X = 17.9 with n = 50, find (a) a one-sided 95% confidence interval for 0, and (b) a two-sided 95% confidence interval for 0.
2.STATISTICAL INFERENCE
Before the furniture store began its ad campaign, it averaged 200 customers per day. The manager is investigating if the average is larger since the ad came out. The data for the 16 randomly selected days since the ad campaign began is shown below: 209, 193, 187, 205, 209, 218, 211, 223, 229, 199, 207, 209, 207, 210, 202, 233 Assuming that the distribution is normal, what can be concluded at the α = 0.10 level of significance? The test statistic = ______________ (please show your answer to 3 decimal places.)
3. Let X, X2, .. X5, be a random sample from a population having mean u and variance o?, and let ô, =(x, + X, + X, + X,) and ô, =(2x, + X, + X, - X,) be two estimates of u. * Which of these two estimators is unbiased? * Which is the better estimator, and why? %3D
Let Y₁, Y₂, ..., Y₁ denote a random sample from a normal distribution with unknown mean and unknown variance o². For testing Ho: o² = 0 vs. Ha: o²o, show that the a-level Likelihood Ratio Test (LRT) is equivalent to the x² test

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