Question

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 0.05 level of significance. (My formatting for the data is going to be weird because Chegg won't let me post pictures)

------------------------Early----------On-time-------------Late

Delta------------------43---------------42-------------------30

U.S Airlines---------27---------------31--------------------20

Southwest----------10----------------19-------------------17

Pearson Chi Square 4.313

DF 4.0

P-value .3652

Answer #1

The null and alternative Hypothesis:

: The three different airlines and the frequency of flights are independent.

: The three different airlines type and the frequency of flights are dependent

Pearson Chi Square = 4.313

DF = 4.0

P-value = 0.3652

**Conclusion:** The p-value of Pearson Chi Square teat is 0.3652. This p-value is
greater than 0.05. Hence we accept null hypothesis at 5% level of
significance and conclude that the three different airlines
and the frequency of flights are independent.

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nonstop flights. To determine if Airline and Status are dependent,
what are the appropriate hypotheses?
Question 2 options:
1)
HO: Airline and Status are associated with each
other.
HA: Airline and Status are independent of each
other.
2)
HO: Airline and Status are independent of each
other.
HA: Airline and Status display a positive
correlation.
3)
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