QUESTION 15 In a study of parking time, a random sample of eight drivers were asked to parallel park two cars having very different wheel bases and tuming radii. The time in seconds for each driver was recorded and analyzed in Minitab. The output is given below. Estimation for Paired Difference (Car 2-Car 1) Mean StDev SE Mean 1.6 1.673 0.591 Let p_d be the population mean difference of parkig time (Car 2- Car 1). At 5% significance level do the data provide sufficient evidence to conclude that the parkimg time for car 2 is significantly different from that of car 1? Assume that the population of the differences is normally distributed. a. What are the signs of the null and the alternative hypotheses of the test for this problem? (use only the signs: <, >, =, not equal, >=, <=) Họ: H1: b. The value of the test statistic = (round to 2 decimal places) c. The critical value of this test = d. The degree of freedom = e. Conclusion: Since the absolute value of the test statistic is (less/ more) than the critical value, we (havel do not have) enough evidence to conclude that the parkimg time for car 2 is significantly different from that of car 1.
QUESTION 15 In a study of parking time, a random sample of eight drivers were asked to parallel park two cars having very different wheel bases and tuming radii. The time in seconds for each driver was recorded and analyzed in Minitab. The output is given below. Estimation for Paired Difference (Car 2-Car 1) Mean StDev SE Mean 1.6 1.673 0.591 Let p_d be the population mean difference of parkig time (Car 2- Car 1). At 5% significance level do the data provide sufficient evidence to conclude that the parkimg time for car 2 is significantly different from that of car 1? Assume that the population of the differences is normally distributed. a. What are the signs of the null and the alternative hypotheses of the test for this problem? (use only the signs: <, >, =, not equal, >=, <=) Họ: H1: b. The value of the test statistic = (round to 2 decimal places) c. The critical value of this test = d. The degree of freedom = e. Conclusion: Since the absolute value of the test statistic is (less/ more) than the critical value, we (havel do not have) enough evidence to conclude that the parkimg time for car 2 is significantly different from that of car 1.
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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