The FAA is interested in knowing if there is a difference in the average number of on-time arrivals for four of the major airlines. The FAA believes that the number of on-time arrivals varies by airport, therefore, a randomized block design is used for the study. To control for this variation, they randomly select 100100 flights for each of the major airlines at each of four randomly selected airports and record the number of on-time flights. Can the FAA conclude that there is a significant difference among the average number of on-time arrivals for the four major airlines? The results of the study are as follows. Average Number of On-Time Arrivals Airport Airline A Airline B Airline C Airline D Airport A 7070 8585 7474 8383 Airport B 7474 8686 8585 7575 Airport C 8383 8989 8484 8080 Airport D 7070 7373 7272 7474 Copy DataANOVA Source of Variation SSSS dfdf MSMS Rows 287.1875287.1875 33 95.729295.7292 Columns 163.6875163.6875 33 54.562554.5625 Error 163.0625163.0625 99 18.118118.1181 Total 613.9375613.9375 1515   Copy Data   Step 2 of 3 :   Determine whether to reject or fail to reject the null hypothesis of no difference between the average number of on-time arrivals for the four major airlines. State the conclusion in terms of the original problem. Use α=0.10�=0.10.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The FAA is interested in knowing if there is a difference in the average number of on-time arrivals for four of the major airlines. The FAA believes that the number of on-time arrivals varies by airport, therefore, a randomized block design is used for the study. To control for this variation, they randomly select 100100 flights for each of the major airlines at each of four randomly selected airports and record the number of on-time flights. Can the FAA conclude that there is a significant difference among the average number of on-time arrivals for the four major airlines? The results of the study are as follows.

Average Number of On-Time Arrivals
Airport Airline A Airline B Airline C Airline D
Airport A 7070 8585 7474 8383
Airport B 7474 8686 8585 7575
Airport C 8383 8989 8484 8080
Airport D 7070 7373 7272 7474
Copy Data

ANOVA
Source of Variation SSSS dfdf MSMS
Rows 287.1875287.1875 33 95.729295.7292
Columns 163.6875163.6875 33 54.562554.5625
Error 163.0625163.0625 99 18.118118.1181
Total 613.9375613.9375 1515  
Copy Data
 
Step 2 of 3 :  
Determine whether to reject or fail to reject the null hypothesis of no difference between the average number of on-time arrivals for the four major airlines. State the conclusion in terms of the original problem. Use α=0.10�=0.10.
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