Homework Answers
The p - value is the probability of observing the difference as extreme as the one found assuming that the null hypothesis is true.
Option B is correct.
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A research article gives a p-value of.001 in the analysis section. Which definition of a p-value...
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...
Explain what a P-value is. What is the criterion for rejecting the null hypothesis using the...
Explain what a P-value is. What is the criterion for rejecting the null hypothesis using the P-value approach? Explain what a P-value is. Choose the correct answer below. OA. A P-value is the probability of observing a sample statistic as extreme or more extreme than the one observed under the assumption that the statement in the null hypothesis is true B. A P-value is the number of standard deviations that the observed proportion is from the proportion stated in the...
Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood...
Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were false It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were true Alarge p-value indicates that the null hypothesis is false A large p-value indicates that the null hypothesis is true
(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...
of 10 (0 completely This Quiz: 10 Explain what a P-value is. What is the criterion for rejecting the null hypothesi...
of 10 (0 completely This Quiz: 10 Explain what a P-value is. What is the criterion for rejecting the null hypothesis using the P-value approach? Explain what a P value is. Choose the correct answer below. O A A P-value is the number of standard deviations that the observed proportion is from the proportion stated in the rul hypothesis OB A P-value is the value used to designate the area in either the left or right-tal of the normal curve...
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....
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.
Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value...
Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value is the probability of observing a sample is true. at least; null equally; alternative equally; alternative equally; null 00
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.21....
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.21. What can you conclude? A. 2(0.21) = 0.42 < 0.5; the test is not statistically significant. B. If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time, so the test is not statistically significant. C. 0.21 > 0.05; the test is statistically significant. D. If the null hypothesis is...
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.
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...
Explain what a P-value is. What is the criterion for rejecting the null hypothesis using the P-value approach? Explain what a P-value is. Choose the correct answer below. OA. A P-value is the probability of observing a sample statistic as extreme or more extreme than the one observed under the assumption that the statement in the null hypothesis is true B. A P-value is the number of standard deviations that the observed proportion is from the proportion stated in the...
Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were false It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were true Alarge p-value indicates that the null hypothesis is false A large p-value indicates 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...
of 10 (0 completely This Quiz: 10 Explain what a P-value is. What is the criterion for rejecting the null hypothesis using the P-value approach? Explain what a P value is. Choose the correct answer below. O A A P-value is the number of standard deviations that the observed proportion is from the proportion stated in the rul hypothesis OB A P-value is the value used to designate the area in either the left or right-tal of the normal curve...
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.
Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value is the probability of observing a sample is true. at least; null equally; alternative equally; alternative equally; null 00
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