Question

True or False: (a) The generalized likelihood ratio statistic Λ (the one we use when the...

True or False:

(a) The generalized likelihood ratio statistic Λ (the one we use when the hypotheses are composite, i.e., we must use the MLE estimator in the denominator) is always less than or equal to 1.

(b) If the p-value is 0.03, the corresponding test will reject at the significance level 0.02.

(c) If a test rejects at significance level 0.06, then the p-value is less than or equal to 0.06.

(d) The p-value of a test is the probability that the null hypothesis is correct.

(e) In testing a simple versus simple hypothesis via the likelihood ratio, the p-value equals the likelihood ratio.

(f) If a chi-square test statistic with 4 degrees of freedom has a value of 8.5, the p-value is less than 0.05.

Homework Answers

Answer #1

a) True

b) False

If p value < significance level (alpha) then we reject test

If p value > significance level then we fail to reject the test

Here p value = 0.03 > alpha = 0.02 , we fail to reject null hypothesis

c) True

d) False

P value is conditional probability given null hypothesis is true.

e) False

The p-value is a probability computed assuming the null hypothesis is true.For the likelihood ratio test,it is the probability that the likelihood ratio(H0toH1)is smaller than the observed value,computed under the conditional probability given H0.

f) False

In excel using command "CHIDIST(8.5,4)" , we will get p value =0.07488

P value is greater than 0.05.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
For each of the following statements, identify whether the statement is true or false, and explain...
For each of the following statements, identify whether the statement is true or false, and explain why. Please limit each response to no more than 3 sentences. i) A p-value is the probability that the null hypothesis is false. ii) A chi-square test statistic can never be negative. iii) If we reject the null hypothesis that a population proportion is equal to a specific value, then that specific value will not be contained in the associated confidence interval. iv) If...
The value obtained for the test​ statistic, z, in a​ one-mean z-test is given. Whether the...
The value obtained for the test​ statistic, z, in a​ one-mean z-test is given. Whether the test is two-tailed, left​ tailed, or right-tailed is also specified. For parts​ (a) and​ (b), determine the​ P-value and decide​ whether, at the 11​% significance​ level, the data provide sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis. a) The test statistic in a left-tailed test is z=-1.65 the P-value is ___ (round to three decimal places as needed.) At...
Suppose that before we conduct a hypothesis test we pick a significance level of ?. When...
Suppose that before we conduct a hypothesis test we pick a significance level of ?. When the test is conducted, we get a p-value of 0.023. Given this p-value, we a. can reject the null hypothesis for any significance level, ?, greater than 0.023. b. cannot reject the null hypothesis for a significance level, ?, greater than 0.023. c. can reject the null hypothesis for a significance level, ?, less than 0.023. d. draw no conclusion about the null hypothesis.
1. Assumptions underlying the use of t-statistic in sample-based estimation are that the population is normally...
1. Assumptions underlying the use of t-statistic in sample-based estimation are that the population is normally distributed and population standard deviation is unknown. A. True B. False 2. The null hypothesis is rejected if the p-value (i.e., the probability of getting a test statistic at least as extreme as the observed value) is greater than the significance level. A. True B. False 3. When using the p-value to test hypotheses, the null hypothesis would be rejected if __________. A. the...
We would like to conduct a hypothesis test to determine whether the true mean pulse rate...
We would like to conduct a hypothesis test to determine whether the true mean pulse rate of healthy adults differs from 75 beats per minute. Pulse rates of healthy adults are known to follow a normal distribution with standard deviation 10 beats per minutes. We will record the pulse rates of a random sample of 15 healthy adults. It is decided that that null hypothesis will be rejected if X⎯⎯⎯⎯X¯ ≤ 69.397 or X⎯⎯⎯⎯X¯ ≥ 80.603. What is the significance...
People prefer to use the median as an estimator for the population mean because it is...
People prefer to use the median as an estimator for the population mean because it is more efficient than the sample mean. True or False The p-value of a test is the probability of obtaining the test statistic or a value more extreme if the null hypothesis is true, and it is NOT the same as the level of significance of an hypothesis test. True or False
How productive are U.S. workers? One way to answer this question is to study annual profits...
How productive are U.S. workers? One way to answer this question is to study annual profits per employee. A random sample of companies in computers (I), aerospace (II), heavy equipment (III), and broadcasting (IV) gave the following data regarding annual profits per employee (units in thousands of dollars). I (27.6;23.1;14.7;8.9;11.9) II (13.1;9.9;11.7;8.1;6.9;19.5) III ( 22.4;20.2;7.4;12.9;7.7) IV (17.6;16.8;14.4;15.7;10.7;9.4) Shall we reject or not reject the claim that there is no difference in population mean annual profits per employee in each of...
Suppose we take sample from two separate populations and record some quantitative measurement for both.  The results...
Suppose we take sample from two separate populations and record some quantitative measurement for both.  The results of these samples are given in the following table: Sample #1 34 5.4 6.4 Sample #2 31 7.4 8.79 Use this information to test the following hypotheses: H0:  = 0 Ha:  < 0 What is the test statistic, , for this example?  Note: for your test statistic, keep the order of (sample #1) minus (sample #2). The test statistic is less than -2.0. The test statistic is...
(42) – (45): True or False? 42) The sample statistic is at the center of a...
(42) – (45): True or False? 42) The sample statistic is at the center of a confidence interval for that statistic. 43) In a hypothesis test, increasing the significance level increases the chance of making a type 1 error. 44) Failure to reject the null hypothesis test in a hypothesis test implies strong support for the null hypothesis. 45) When no prior belief about a population characteristic is held, construction of a confidence interval, rather than the use of hypothesis...
A genetic experiment involving peas yielded one sample of offspring consisting of 420 green peas and...
A genetic experiment involving peas yielded one sample of offspring consisting of 420 green peas and 149 yellow peas. Use a 0.01 significance level to test the claim that under the same circumstances, 24 % of offspring peas will be yellow. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution. What are...