When you conduct a significance test, what does the probability value tell you, exactly? the probability...
When you conduct a significance test, what does the probability value tell you, exactly?
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the probability of replication |
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the probability of observing a trend this extreme or more, assuming the null hypothesis is true |
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the probability that the alternative hypothesis is true |
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the probability that the null hypothesis is true |
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the probability that the null hypothesis is false |
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the probability that the alternative hypothesis is false |
Homework Answers
The probability tell you about the probability of observing a trend this extreme or more, assuming the null hypothesis is true
Option B) is answer
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When you conduct a significance test, what does the probability
value tell you, exactly?
the probability...
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...
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...
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.
Which of the following is true about a p-value? O It measures the probability of observing...
Which of the following is true about a p-value? O It measures the probability of observing your test statistic, assuming the null hypothesis is true. O It measures the probability that the alternative hypothesis is true. O It measures the probability of observing your test statistic, assuming the alternative hypothesis is true. It measures the probability that the null hypothesis is true.
α is the probability of a Type I error, which occurs when we accept the alternative...
α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...
(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...
For each problem, select the correct response. (a) What is the P-value of a test of...
For each problem, select the correct response. (a) What is the P-value of a test of the null hypothesis? A. The probability the null hypothesis is false B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed C. The probability the null hypothesis is true D. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as...
You are asked to conduct a simulation and run a hypothesis test at a significance level...
You are asked to conduct a simulation and run a hypothesis test at a significance level of 0.10. Based on your simulation, you find that the p-value is 0.051. What does this mean for your hypothesis test? 1. Since the p-value is greater than the significance level, you must fail to reject the null hypothesis. 2. Since the p-value is less than the significance level, you must fail to reject the null hypothesis. 3. Since the p-value is less than...
Question 10 of 10 > You use software to carry out a test of significance. The...
Question 10 of 10 > You use software to carry out a test of significance. The program tells you that P-value is P = 0.011. You conclude that probability, computed assuming that He is true, of the test statistic taking a value as extreme as or more extreme than that actually observed is 0.011. true, of the test statistic taking a value as extreme as or less extreme than that actually observed is 0.011. false, of the test statistic taking...
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 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 about a p-value? O It measures the probability of observing your test statistic, assuming the null hypothesis is true. O It measures the probability that the alternative hypothesis is true. O It measures the probability of observing your test statistic, assuming the alternative hypothesis is true. It measures the probability that the null hypothesis is true.
(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...
Question 10 of 10 > You use software to carry out a test of significance. The program tells you that P-value is P = 0.011. You conclude that probability, computed assuming that He is true, of the test statistic taking a value as extreme as or more extreme than that actually observed is 0.011. true, of the test statistic taking a value as extreme as or less extreme than that actually observed is 0.011. false, of the test statistic taking...
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...
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