Homework Answers
Solution:
The correct option is B
Explanation:
The p-value is that the possibility of the ascertained data, on condition that the null hypothesis is true. The p-value is, in future experiments, the chance of obtaining results as "extreme" or extra "extreme" on condition that the null hypothesis is true.
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Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood...
(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...
Which one the following statements is false about the null hypothesis? It is the hypothesis that...
Which one the following statements is false about the null hypothesis? It is the hypothesis that the observed correlation is the result of random fluctuation. The likelihood of observing the results that we observed if this hypothesis is true, is the p-value. It is the hypothesis that would be wrong in case our causal hypothesis is true. The hypothesis that our causal explanation is true and explains the observed correlation.
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...
Q. The p-value represents the probability: 1. that we observe data as extreme as the one...
Q. The p-value represents the probability: 1. that we observe data as extreme as the one we saw if the null hypothesis is true. 2. that we observe data as extreme as the one we saw if the alternative hypothesis is true. 3. that we observe data as extreme as the one we saw if the alternative hypothesis is false. 4. that the null hypothesis is true given that we observed data as extreme as the one we saw. 5....
A research article gives a p-value of.001 in the analysis section. Which definition of a p-value...
A research article gives a p-value of.001 in the analysis section. Which definition of a p-value is the most accurate? The probability that the observed outcome will occur again. O The probability of observing an outcome as extreme or more extreme tharn the one observed if the null hypothesis is true. OThe value that an observed outcome must reach in order to be considered significant under the null hypothesis. The probability that the null hypothesis is true.
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.
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...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that is more extreme than the test statistic, True False
A p-value is the A.) probability, when the null hypothesis is true, of obtaining a sample...
A p-value is the A.) probability, when the null hypothesis is true, of obtaining a sample result that is at least as unlikely as what is observed B.) probability of a Type II error C.) value of the test statistic D.) probability corresponding to the critical value(s) in a hypothesis test
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.
(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...
A research article gives a p-value of.001 in the analysis section. Which definition of a p-value is the most accurate? The probability that the observed outcome will occur again. O The probability of observing an outcome as extreme or more extreme tharn the one observed if the null hypothesis is true. OThe value that an observed outcome must reach in order to be considered significant under the null hypothesis. The probability that the null hypothesis is true.
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that is more extreme than the test statistic, True False
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.
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