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Suppose a random sample of 100 observations from a binomial population gives a value of p=0.54 and you wish to test the null hypothesis that the population parameter p is equal to 0.50 against the alternative hypothesis that p is greater than 0.50. Complete parts a through c. OE. z> 1.28 Calculate the value of the test statistic. z = 0.80 (Round to two decimal places as needed.) What is the conclusion of the test? C A. Do not reject the null hypothesis because the test statistic is not in the rejection region. OB. Reject the null hypothesis because the test statistic is not in the rejection region. OC. Reject the null hypothesis because the test statistic is in the rejection region. O D. Do not reject the null hypothesis because the test statistic is in the rejection region. OF. z< -1.28 c. Find and interpret the observed significance level of the test conducted in part b. (Round to three decimal places as needed.) The p-value of the test is What does this p-value mean? OA. Assuming p = 0.50, the p-value is the probability that p is greater than 0.54 for a random sample of 100 observations. OB. Assuming p=0.54, the p-value is the probability that p is greater than 0.54 for a random sample of 100 observations. OC. Assuming p = 0.54, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations. OD. Assuming p=0.50, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations.

Suppose a random sample of 100 observations from a binomial population gives a value of p=0.54 and you wish to test the null hypothesis that the population parameter p is equal to 0.50 against the alternative hypothesis that p is greater than 0.50. Complete parts a through c. OE. z> 1.28 Calculate the value of the test statistic. z = 0.80 (Round to two decimal places as needed.) What is the conclusion of the test? C A. Do not reject the null hypothesis because the test statistic is not in the rejection region. OB. Reject the null hypothesis because the test statistic is not in the rejection region. OC. Reject the null hypothesis because the test statistic is in the rejection region. O D. Do not reject the null hypothesis because the test statistic is in the rejection region. OF. z< -1.28 c. Find and interpret the observed significance level of the test conducted in part b. (Round to three decimal places as needed.) The p-value of the test is What does this p-value mean? OA. Assuming p = 0.50, the p-value is the probability that p is greater than 0.54 for a random sample of 100 observations. OB. Assuming p=0.54, the p-value is the probability that p is greater than 0.54 for a random sample of 100 observations. OC. Assuming p = 0.54, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations. OD. Assuming p=0.50, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Suppose a random sample of 100 observations from a binomial population gives a value of p=0.54 and you wish to test the null hypothesis that population parameter p is equal to 0.50 against the alternative hypothesis that p is greater than 0.50. Complete parts a through c. OE. z> 1.28 Calculate the value of the test statistic. z = 0.80 (Round to two decimal places as needed.) What is the conclusion of the test? A. Do not reject the null hypothesis because the test statistic is not in the rejection region. OB. Reject the null hypothesis because the test statistic is not in the rejection region. OC. Reject the null hypothesis because the test statistic is in the rejection region. O D. Do not reject the null hypothesis because the test statistic is in the rejection region. OF. z< -1.28 c. Find and interpret the observed significance level of the test conducted in part b. The p-value of the test is What does this p-value mean? (Round to three decimal places as needed.) O A. Assuming p=0.50, the p-value is the probability that p is greater than 0.54 for a random sample of 100 observations. OB. Assuming p = 0.54, the p-value is the probability that is greater than 0.54 for a random sample of 100 observations. OC. Assuming p = 0.54, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations. OD. Assuming p=0.50, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations.
Transcribed Image Text:Suppose a random sample of 100 observations from a binomial population gives a value of p=0.54 and you wish to test the null hypothesis that population parameter p is equal to 0.50 against the alternative hypothesis that p is greater than 0.50. Complete parts a through c. OE. z> 1.28 Calculate the value of the test statistic. z = 0.80 (Round to two decimal places as needed.) What is the conclusion of the test? A. Do not reject the null hypothesis because the test statistic is not in the rejection region. OB. Reject the null hypothesis because the test statistic is not in the rejection region. OC. Reject the null hypothesis because the test statistic is in the rejection region. O D. Do not reject the null hypothesis because the test statistic is in the rejection region. OF. z< -1.28 c. Find and interpret the observed significance level of the test conducted in part b. The p-value of the test is What does this p-value mean? (Round to three decimal places as needed.) O A. Assuming p=0.50, the p-value is the probability that p is greater than 0.54 for a random sample of 100 observations. OB. Assuming p = 0.54, the p-value is the probability that is greater than 0.54 for a random sample of 100 observations. OC. Assuming p = 0.54, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations. OD. Assuming p=0.50, the p-value is the probability that p is greater than 0.50 for a random sample of 100 observations.
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