In a study of computer use, 1000 randomly selected Canadian Internet users were asked how much time they spend using the Internet in a typical week. Themean of the sample observations was 12.6 hours.(a) The sample standard deviation was not reported, but suppose that it was 6 hours. Carry out a hypothesis test with a significance level of 0.05 to decideif there is convincing evidence that the mean time spent using the Internet by Canadians is greater than 12.4 hours. (Use a statistical computerpackage to calculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.)t =P-value =State the conclusion in the problem context.Reject Hg. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours.Do not reject Hp. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours.O Do not reject H.. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4hours.Reject H,. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours.(b) Now suppose that the sample standard deviation was 2 hours. Carry out a hypothesis test with a significance level of 0.05 to decide if there isconvincing evidence that the mean time spent using the Internet by Canadians is greater than 12.4 hours. (Use a statistical computer package tocalculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.)t =P-value =State the conclusion in the problem context.O Reject Hg. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours.O Do not reject H,: We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours.O Do not reject Ho. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4hours.O Reject Ho. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours.(c) Explain why the hypothesis tests resulted in different conclusions for part (a) and part (b).O The larger standard deviation means that you can expect more variability in measurements and greater deviations from the mean. This explainswhy H, is rejected when the sample standard deviation is 2, but not when the sample standard deviation is 6.O The smaller standard deviation means that you can expect more variability in measurements and greater deviations from the mean. This explainswhy H, is rejected when the sample standard deviation is 2, but not when the sample standard deviation is 6.The larger standard deviation means that you can expect less variability in measurements and smaller deviations from the mean. This explainswhy H, is rejected when the sample standard deviation is 6, but not when the sample standard deviation is 2.O The smaller standard deviation means that you can expect less variability in measurements and smaller deviations from the mean. This explainswhy Ho is rejected when the sample standard deviation is 6, but not when the sample standard deviation is 2.

We have given that Sample size n = 1000 Sample mean = 12.6

e sample observations was 12.6 hours. ample standard deviation was not reported, but suppose that it was 6 hours. Carry out a hypothesis test with a significance level of 0.05 to decide re is convincing evidence that the mean time spent using the Internet by Canadians is greater than 12.4 hours. (Use a statistical computer ge to calculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.) t = ue 3D the conclusion in the problem context. Reject Hg. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. Do not reject Hg. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. Do not reject H,. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. Reject H,. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. suppose that the sample standard deviation was 2 hours. Carry out a hypothesis test with a significance level of 0.05 to decide if there is ncing evidence that the mean time spent using the Internet by Canadians is greater than 12.4 hours. (Use a statistical computer package to ate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.) t = ue = the conclusion in the problem context. Reject Hg. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. Do not reject Hg. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. Do not reject Hg. We do not have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. Reject Hg. We have convincing evidence that the mean weekly time spent using the Internet by Canadians is greater than 12.4 hours. in why the hypothesis tests resulted in different condlusions for part (a) and part (b). The larger standard deviation means that you can expect more variability in measurements and greater deviations from the mean. This explains why H, is rejected when the sample standard deviation is 2, but not when the sample standard deviation is 6. The smaller standard deviation means that you can expect more variability in measurements and greater deviations from the mean. This explains why H, is rejected when the sample standard deviation is 2, but not when the sample standard deviation is 6. The larger standard deviation means that you can expect less variability in measurements and smaller deviations from the mean. This explains why H, is rejected when the sample standard deviation is 6, but not when the sample standard deviation is 2. The smaller standard deviation means that you can expect less variability in measurements and smaller deviations from the mean. This explains why H, is rejected when the sample standard deviation is 6, but not when the sample standard deviation is 2.