Given : rejection region = {X | X is an integer }
P[Type I error ]= Probability of rejecting H0 when H0 is actually true
=P[ X is an integer | X ~ N(5,4) ] =
The normal curve is between
, so betwwen this interval there will be all the integers included.
But each integer will be a point on the axis and area corresponding
to each of these points will be nearly 0. So, sum of
P[Type II error] = Probability of accepting H0 when H0 is false
= P[X is an integer | X ~ bin(25,0.2) ]= 1
since, all of X's realisations are natural numbers and hence, integers.
3. You will have just a single observation of X on which to base your choice...
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....
Let X 1, X 2, X 3, X 4 be a random sample of size n=4 from a Poisson distribution with mean . We wish to test Ho: I = 3 vs. H1: \<3. a) Find the best rejection region with the significance level a closest to 0.05. Hint 1: Since H1: X< 3, Reject Ho if X 1+X 2 +X 3 +X 4<= 0 Hint 2: X 1+X 2 +X 3 + X 4 ~ Poisson (4) Hint 3:...
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...
i need the solution with steps
if x is a single observation taken from population has probability density Among possible simple likelihood ratio tests for testing Ho : θ 0 versus HI :6-1, find the Most powerful test which minimizes the sum of the sizes of the Type I and Type II erors
if x is a single observation taken from population has probability density Among possible simple likelihood ratio tests for testing Ho : θ 0 versus HI :6-1,...
Multiple Choice Question An engineer measures the weights (in kilograms) of steel pieces. They would like to test Ho : u = 5 against H1: u > 5. The weights follow a normal distribution with variance 16. Using a sample of size n = 25, the engineer decides to reject H, if 7 > 6. Assuming that the true population mean is 5.2, determine the probability of committing an error of Type II error. A. 0.8413 B. 0.05 C. 0.9332...
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Question 5 (20 pts) You must decide which of two discrete distri- butions a random variable X has. We will call the distributions po and p. Here are the probabilities they assign to the values r of X. 2 Po P 0 1 2 0.1 0.1 0.2 0.1 0.3 0.2 3 4 5 0.3 0.1 0.1 0.1 0.1 0.1 6 0.1 0.1 You have a single observation on X and wish to test Ho:...
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
A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1300 KN/m2. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed with σ-70. Let μ denote the true average compressive strength. a) What are the a null and altenative hypotheses? Ho: 1300 на: #1300 Ho:> 1300 hja: μ-1300...
Suppose you want to test the following hypotheses: H0: p ≥ 0.4 vs. H1: p < 0.4. A random sample of 1000 observations was taken from the population. Answer the following questions and show your Excel calculation for each question clearly: (a) Let p ̂ be the sample proportion. What is the standard error of sample proportion (i.e., σ_p ̂ ) if H0 is true? (b) If the sample proportion obtained were 0.38 (i.e., p ̂=0.38), what is its p-value?...
please show your work......................
14. a. Probability of making a Type I error b. Probability of making a Type Il error c. Probability of rejecting Ho when you are supposed to d. Probability of not rejecting Ho when you shouldn't. Which of the following probabilities is equal to the significance level a? 15. If we reject the null hypothesis when it is false, then we have committed a. a Type ll error b. a Type l error both a Type...