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The data in the table were collected from randomly selected flights at airports in three cities and indicate the number of minutes that each plane was behind schedule at its departure. City 1 City 2 34 37 30 48 26 a. Perform a one-way ANOVA using a 0.05 to determine if there is a difference in the average lateness of flights from these three airports b. Perform a multiple comparison test to determine which pairs are different using a 0.05. Click the icon to view a studentized range table for a 0.05 a. What are the correct hypotheses for the one-way ANOVA test? OA. H: Not all the means are equal H₁P*A*P OC. Ho P₂P H₁ H₂ H OB. HiPP H: Not all the means are equal OD. HP 15 H₁ 1*₂* 126118 27 32 City 3 12 14 1902 5

The data in the table were collected from randomly selected flights at airports in three cities and indicate the number of minutes that each plane was behind schedule at its departure. City 1 City 2 34 37 30 48 26 a. Perform a one-way ANOVA using a 0.05 to determine if there is a difference in the average lateness of flights from these three airports b. Perform a multiple comparison test to determine which pairs are different using a 0.05. Click the icon to view a studentized range table for a 0.05 a. What are the correct hypotheses for the one-way ANOVA test? OA. H: Not all the means are equal H₁P*A*P OC. Ho P₂P H₁ H₂ H OB. HiPP H: Not all the means are equal OD. HP 15 H₁ 1*₂* 126118 27 32 City 3 12 14 1902 5

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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The data in the table were collected from randomly selected flights at airports in three cities and indicate the number of minutes that each plane was behind schedule at its departure. City 1 18 a. Perform a one-way ANOVA using a = 0.05 to determine if there is a difference in the average lateness of flights from these three airports b. Perform a multiple comparison test to determine which pairs are different using a = 0.05 Click the icon to view a studentized range table for at = 0.05 a. What are the correct hypotheses for the one-way ANOVA test? OA. Ho Not all the means are equal OC. Ho H₁ P₂ P H₂H₂H₂₂ Complete the ANOVA summary table below Source Between Sum of Degrees of Mean Sum of Squares Freedom Squares 300 Within Total (Round to three decimal places as needed.) Determine the p-value for this test p-value=(Round to three decimal places as needed.) State the conclusion for a = 0.05 Since the p-value is than the level of significance, F OB. H₂ H ₂ H: Not all the means are equal OD. HP₂ H: 14*1₂* the null hypothesis and conclude that the average lateness of flights 32495 27 City 2 34 37 30 48 26 different for these airports City 3 12 SEHISN
Transcribed Image Text:The data in the table were collected from randomly selected flights at airports in three cities and indicate the number of minutes that each plane was behind schedule at its departure. City 1 18 a. Perform a one-way ANOVA using a = 0.05 to determine if there is a difference in the average lateness of flights from these three airports b. Perform a multiple comparison test to determine which pairs are different using a = 0.05 Click the icon to view a studentized range table for at = 0.05 a. What are the correct hypotheses for the one-way ANOVA test? OA. Ho Not all the means are equal OC. Ho H₁ P₂ P H₂H₂H₂₂ Complete the ANOVA summary table below Source Between Sum of Degrees of Mean Sum of Squares Freedom Squares 300 Within Total (Round to three decimal places as needed.) Determine the p-value for this test p-value=(Round to three decimal places as needed.) State the conclusion for a = 0.05 Since the p-value is than the level of significance, F OB. H₂ H ₂ H: Not all the means are equal OD. HP₂ H: 14*1₂* the null hypothesis and conclude that the average lateness of flights 32495 27 City 2 34 37 30 48 26 different for these airports City 3 12 SEHISN
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