Suppose the Federal Aviation Administration (FAA) would like to compare the on-time performances of different airlines on domestic, nonstop flights. The following table shows three different airlines and the frequency of flights that arrived early, on-time, and late for each. Identify the correct conclusion using the 0.1 level of significance. Question 3 options:   1)  We conclude that Airline and Status are dependent on each other, based on a p-value of 0.0012   2)  We conclude that Airline and Status are not related to each other, based on a p-value of 0.0012   3)  We decide that Airline and Status are independent of one another, based on a p-value of 0.9988   4)  We find that Airline and Status are related to each other, based on a p-value of 0.9988   5)  There are two correct answers.

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Suppose the Federal Aviation Administration (FAA) would like to compare the on-time performances of different airlines on domestic, nonstop flights. The following table shows three different airlines and the frequency of flights that arrived early, on-time, and late for each. Identify the correct conclusion using the 0.1 level of significance.

Question 3 options:

 

1) 

We conclude that Airline and Status are dependent on each other, based on a p-value of 0.0012
 

2) 

We conclude that Airline and Status are not related to each other, based on a p-value of 0.0012
 

3) 

We decide that Airline and Status are independent of one another, based on a p-value of 0.9988
 

4) 

We find that Airline and Status are related to each other, based on a p-value of 0.9988
 

5) 

There are two correct answers.
Delta
US Airways
Southwest
Early
32
36
14
Cross Tabulation of
Airline vs. Status
On-time
Pearson Chi-square = 18.016
DF = 4
P-value = 0.0012
29
31
16
Late
67
21
23
Transcribed Image Text:Delta US Airways Southwest Early 32 36 14 Cross Tabulation of Airline vs. Status On-time Pearson Chi-square = 18.016 DF = 4 P-value = 0.0012 29 31 16 Late 67 21 23
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