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 two different airlines and the frequency of flights that arrived early, on- time, and late for each. To test at the 0.1 level to determine if Airline and Status are dependent, calculate the chi-square test statistic and p-value. Cross Tabulation of Airline vs. Status Early On-time Late US Airways 26 14 16 Southwest 16 22

MATLAB: An Introduction with Applications
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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 two different airlines and the frequency of flights that arrived early, on-
time, and late for each. To test at the 0.1 level to determine if Airline and Status are
dependent, calculate the chi-square test statistic and p-value.
Cross Tabulation of
Airline vs. Status
Early
On-time
Late
US Airways
26
14
16
Southwest
16
22
Transcribed Image Text: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 two different airlines and the frequency of flights that arrived early, on- time, and late for each. To test at the 0.1 level to determine if Airline and Status are dependent, calculate the chi-square test statistic and p-value. Cross Tabulation of Airline vs. Status Early On-time Late US Airways 26 14 16 Southwest 16 22
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