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QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Obtaining data with a large P-value. B. Using a small level of significance. C. Using a large level of significance. D. Obtaining data with a small P-value. (b) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement of "no effect" or "no difference". B. the probability...
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of...
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of testing is called the hypothesis 2. (Circle the correct response) In hypothesis testing, critical values used to make a rejection decision regarding the null hypothesis are determined by the nature of the hypothesis test (two-tail vs. one-tail) and the d. significance level a. sample size b. population parameter c. target value 3. (Circle the correct response) In the process of hypothesis testing, the test...
Suppose a researcher is testing the hypothesis Ho: p = 0.6 versus H1:p*0.6 and she finds...
Suppose a researcher is testing the hypothesis Ho: p = 0.6 versus H1:p*0.6 and she finds the P-value to be 0.29. Explain what this means. Would she reject the null hypothesis? Why? Choose the correct explanation below. O A. If the P-value for a particular test statistic is 0.29, she expects results no more extreme than the test statistic in about 29 of 100 samples if the null hypothesis is true. OB. If the P-value for a particular test statistic...
QUESTION 9 Problem 2) True False (4) The rejection region(s) in the hypothesis testing is(are) determined...
QUESTION 9 Problem 2) True False (4) The rejection region(s) in the hypothesis testing is(are) determined by the p-value. True False
QUESTION 21 A p value is the probability of obtaining the value of the test statistic...
QUESTION 21 A p value is the probability of obtaining the value of the test statistic or more extreme, if the null hypothesis is true. a. True b. False QUESTION 18 Type I error occurs when a. you reject a false null hypothesis b. you reject a true null hypothesis c. you fail to reject a false null hypothesis d. you fail to reject a true null hypothesis QUESTION 19 Type II error occurs when a. you reject a false...
In hypothesis testing, the level of significance (a) is also known as the size of the...
In hypothesis testing, the level of significance (a) is also known as the size of the rejection region or size of the critical region. True False In a hypothesis test, the probability of obtaining a value of the test statistic equal to or even more extreme than the value observed, given that the null hypothesis is true, is referred to as what? The p-value The level of significance The statistical power What is the requirement for a large sample to...
Question 7 (1 point) Which of these is NOT what the P-value is? The probability of...
Question 7 (1 point) Which of these is NOT what the P-value is? The probability of getting the sample results you did or something even more extreme if H-null is actually true. The probability of getting a type I error. The area in the tail(s) beyond the test statistic, Question 8 (1 point) What is the significance level of a hypothesis test? How important and useful the test is 1-alpha (the complement of alpha) The probability of rejecting the null...
Select the correct definition of the p-value of a test from the answer choices below: The...
Select the correct definition of the p-value of a test from the answer choices below: The probability that the null hypothesis is true The probability that, assuming the null hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that, assuming the alternative hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that the alternative hypothesis is false, given that the null hypothesis...
Which of the following is true of the p-value? Select one: a. It is the probability...
Which of the following is true of the p-value? Select one: a. It is the probability of rejecting the null hypothesis when the alternative hypothesis is true. b. It is the extreme value of the test statistic obtained when the alternative hypothesis is true. c. It is the smallest significance level at which a null hypothesis can be rejected. d. It is the probability of rejecting the null hypothesis when the null hypothesis is true.
1) In hypothesis testing, the region of rejection of the null hypothesis will always be smaller...
1) In hypothesis testing, the region of rejection of the null hypothesis will always be smaller than the region of acceptance of the null hypothesis. True or False? One-sample tests use data drawn from a single sample to test that the sample comes from a specified population. True or False? A study of more than 20,000 mothers of newborns revealed a 10% greater likelihood of purchase by mothers of boys versus mothers of girls. The null hypothesis is: "Mothers of...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Obtaining data with a large P-value. B. Using a small level of significance. C. Using a large level of significance. D. Obtaining data with a small P-value. (b) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement of "no effect" or "no difference". B. the probability...
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of testing is called the hypothesis 2. (Circle the correct response) In hypothesis testing, critical values used to make a rejection decision regarding the null hypothesis are determined by the nature of the hypothesis test (two-tail vs. one-tail) and the d. significance level a. sample size b. population parameter c. target value 3. (Circle the correct response) In the process of hypothesis testing, the test...
Suppose a researcher is testing the hypothesis Ho: p = 0.6 versus H1:p*0.6 and she finds the P-value to be 0.29. Explain what this means. Would she reject the null hypothesis? Why? Choose the correct explanation below. O A. If the P-value for a particular test statistic is 0.29, she expects results no more extreme than the test statistic in about 29 of 100 samples if the null hypothesis is true. OB. If the P-value for a particular test statistic...
QUESTION 9 Problem 2) True False (4) The rejection region(s) in the hypothesis testing is(are) determined by the p-value. True False
In hypothesis testing, the level of significance (a) is also known as the size of the rejection region or size of the critical region. True False In a hypothesis test, the probability of obtaining a value of the test statistic equal to or even more extreme than the value observed, given that the null hypothesis is true, is referred to as what? The p-value The level of significance The statistical power What is the requirement for a large sample to...
Question 7 (1 point) Which of these is NOT what the P-value is? The probability of getting the sample results you did or something even more extreme if H-null is actually true. The probability of getting a type I error. The area in the tail(s) beyond the test statistic, Question 8 (1 point) What is the significance level of a hypothesis test? How important and useful the test is 1-alpha (the complement of alpha) The probability of rejecting the null...
Select the correct definition of the p-value of a test from the answer choices below: The probability that the null hypothesis is true The probability that, assuming the null hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that, assuming the alternative hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that the alternative hypothesis is false, given that the null hypothesis...
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