Examine the following statements. a. The p-value forms the borderline between significance levels that would result...
Examine the following statements.
Determine if each statement is true or false |
Homework Answers
a. The p-value forms the borderline between significance levels that would result in rejecting the null hypothesis and significance levels that would result in not rejecting the null hypothesis. TRUE
b. The smaller the p-value, the stronger the evidence is in favor of the null hypothesis. FALSE
c. The p-value is calculated under the assumption that the alternative hypothesis is true. FALSE
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Examine the following statements.
a. The p-value forms the borderline between
significance levels that would result...
Consider the following statements. (i) The p-value forms the borderline between significance levels that would result...
Consider the following statements. (i) The p-value forms the borderline between significance levels that would result in rejecting the null hypothesis and significance levels that would result in not rejecting the null hypothesis. (ii) The p-value is calculated under the assumption that the alternative hypothesis is true. (iii) The smaller the p-value, the stronger the evidence is in favor of the alternative hypothesis. Determine which of the above statements are true (1) or false (2).
A P-value of 0.12 is calculated on a hypothesis test with a significance level set at...
A P-value of 0.12 is calculated on a hypothesis test with a significance level set at 0.01. Which of the following is the correct conclusion for the test? a. Claim the null hypothesis is true b. Fail to reject the null hypothesis c. Reject the null hypothesis d. Claim the alternative hypothesis is true Which of the following are not requirements for using the t-distribution for a hypothesis test concerning μ? (More than one answer may be correct.) a. Sample...
of the following statements, two are true and three are false. Which ones are true? A...
of the following statements, two are true and three are false. Which ones are true? A very small p-value is indicative of very strong evidence against the null hypothesis. A very large p-value is indicative of very strong evidence against the null hypothesis. If a null hypotheis is rejected at the 5% significance level, it would also be rejected at the 10% significance level. A very large p-value is indicative of very strong evidence against the alternative hypothesis. A very...
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.
Match each of the four p-values with the appropriate conclusion. p-value = .2035 p-value =...
Match each of the four p-values with the appropriate conclusion. p-value = .2035 p-value = .000073 p-value = .0713 p-value = .028 I. The result is statistically significant at the 5% level but not at the 1% level. II. The evidence against the null hypothesis is statistically significant at the 10% level, but not at the 5% level. III. The evidence against the null and in favor of the alternative hypothesis is extremely strong. IV. There is not...
The test statistic in a two-tailed test is z=0.34 Determine the P-value and decide whether, at...
The test statistic in a two-tailed test is z=0.34 Determine the P-value and decide whether, at the 10% significance level, the data provide sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis. LOADING... Click here to view a partial table of areas under the standard normal curve. The P-value is nothing. (Round to four decimal places as needed.) This P-value ▼ sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis because it...
The test statistic in a two dash tailedtwo-tailed test is zequals=1.79 Determine the P-value and decide...
The test statistic in a two dash tailedtwo-tailed test is zequals=1.79 Determine the P-value and decide whether, at the 10% significance level, the data provide sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis. LOADING... Click here to view a partial table of areas under the standard normal curve. The P-value is (Round to four decimal places as needed.) This P-value sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis because it...
The P-Value is the smallest level of significance that would lead to the rejection of the...
The P-Value is the smallest level of significance that would lead to the rejection of the null hypothesis. True False
The P-value for a hypothesis test is 0.079. For each of the following significance levels, decide...
The P-value for a hypothesis test is 0.079. For each of the following significance levels, decide whether the null hypothesis should be rejected. a. alphaequals0.05 b. alphaequals0.10 a. Determine whether the null hypothesis should be rejected for alphaequals0.05. A. Reject the null hypothesis because the P-value is equal to or less than the significance level. B. Do not reject the null hypothesis because the P-value is equal to or less than the significance level. C. Reject the null hypothesis because...
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...
of the following statements, two are true and three are false. Which ones are true? A very small p-value is indicative of very strong evidence against the null hypothesis. A very large p-value is indicative of very strong evidence against the null hypothesis. If a null hypotheis is rejected at the 5% significance level, it would also be rejected at the 10% significance level. A very large p-value is indicative of very strong evidence against the alternative hypothesis. A very...
The P-Value is the smallest level of significance that would lead to the rejection of the null hypothesis. True False
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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