Question: The data in the table were collected from randomly selected flights at airport in three chies and indicate the number of minutes that each plane

The data in the table were collected from
The data in the table were collected from
The data in the table were collected from
The data in the table were collected from
The data in the table were collected from randomly selected flights at airport in three chies and indicate the number of minutes that each plane was behind schedule et la departure a. Perform a one-way ANOVA using a 0.05 to determine if there is a difference in the average lateness of fights from these three airports. b. Perform a multiple comparison test to determine which pairs are different using 0.05. Click the icon to view a studenticed range table for a =0.05 Cy1 46 35 49 37 28 City 2 18 13 16 24 22 99N City 30 16 20 20 10 Critical Values of the Studentized Range 9 Critical values of the studentized range for a = 0.05. D. D, 2 3 4 5 1 17.97 26.98 38.32 3708 2 6.00 8.33 9.80 10.88 3 4.50 5.91 6.82 7.50 4 3.93 5.04 5.76 6.29 5 3.64 4.60 5.22 5.67 6 3.46 4.34 4.90 5.30 7 3.34 4.16 4.68 5.06 8 3.26 4.04 4.53 4.89 6 40.41 11.74 8.04 6.71 6.03 5.63 7 43.12 12.44 8.48 7.05 6.33 5.90 5.61 5.40 8 45.40 13.03 8.85 735 6.58 6.12 10 49.07 13.99 9.46 7.83 47.36 1354 9.18 7.60 6.80 6.32 6.00 5.77 6.99 6.40 5.36 5.17 5.82 5.60 6.16 5.92 Complete the ANOVA summary table below. Sum of Squares Degrees of Mean Sum of Freedom Squares Source F Between Within Total (Round to three decimal places as needed.) Determine the p-value for this test. The data in the table were collected from randomly selected flights at airports in three chies and indicate the number of minutes that each plane was behind schadulo at ta departure, 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. do not reject roject Since the p-value is different for these airports W than the level of significance, the null hypothesis and conclude that the average lateness of flights

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