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Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value...
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....
(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...
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...
In a test of the hypothesis H0: μ=48 versus Ha: μ>48, a sample of n =100observations...
In a test of the hypothesis H0: μ=48 versus Ha: μ>48, a sample of n =100observations possessed mean X̄ =47.4 and standard deviation s=4.6. The p-value for this test is .902 Interpret the result. Select the correct choice below and fill in the answer box to complete your choice.(Round to three decimal places as needed.) A) The probability (assuming that Ha is true) of observing a value of the test statistic that is at most as contradictory to the null...
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.
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 16 5 points Save Answer TRUE OR FALSE: In order to reject the null hypothesis,...
QUESTION 16 5 points Save Answer TRUE OR FALSE: In order to reject the null hypothesis, the p-value (i e., Sig. in SPSS) must be less than the alpha level. O True O False
Interpreting a P-value In each case, indicate whether the statement is a proper interpretation of what...
Interpreting a P-value In each case, indicate whether the statement is a proper interpretation of what a p-value measures. (a) The probability of making a Type II error, if the alternative hypothesis, Ha, is true. (b) The probability the null hypothesis, Ho, is true. (c) The probability that the alternative hypothesis, Ha, is true. (d) The probability of seeing data as extreme as the sample, when the null hypothesis, Ho, is true. (e) The probability of making a Type I...
1 points Save QUESTION 2 If we set a = 0.03, we reject the null hypothesis...
1 points Save QUESTION 2 If we set a = 0.03, we reject the null hypothesis if the probability of our result (or more extreme result), given that the null hypothesis is true, is greater than 0.97 o less than 0.97 greater than 0.03 o less than 0.03
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? the probability of replication the probability of observing a trend this extreme or more, assuming the null hypothesis is true the probability that the alternative hypothesis is true the probability that the null hypothesis is true the probability that the null hypothesis is false the probability that the alternative hypothesis is false
(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...
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.
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 16 5 points Save Answer TRUE OR FALSE: In order to reject the null hypothesis, the p-value (i e., Sig. in SPSS) must be less than the alpha level. O True O False
Interpreting a P-value In each case, indicate whether the statement is a proper interpretation of what a p-value measures. (a) The probability of making a Type II error, if the alternative hypothesis, Ha, is true. (b) The probability the null hypothesis, Ho, is true. (c) The probability that the alternative hypothesis, Ha, is true. (d) The probability of seeing data as extreme as the sample, when the null hypothesis, Ho, is true. (e) The probability of making a Type I...
1 points Save QUESTION 2 If we set a = 0.03, we reject the null hypothesis if the probability of our result (or more extreme result), given that the null hypothesis is true, is greater than 0.97 o less than 0.97 greater than 0.03 o less than 0.03
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