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The SPSS output for the arrival delay times, along with the observations of three flights,are given.

P-value is the probability of obtaininga value as extreme as the test statistic. If the value is large, the chances of rejecting the null hypothesis lower.

From the output table, the value computed in the significance column against the test statistic is the p-value,which is 0.285.

The decision rule states two criteria:

• If the p-value is greater than the significance level, the null hypothesis fails to be rejected.
• If the p-value is lower than the significance level, the null hypothesis is rejected.

The significance level is 0.05. The p-value is larger than 0.05, implying that the null hypothesis would fail to be rejected at a 0.05 level of significance.

The statistical hypothesis for the test is as follows:

Null hypothesis: The mean of arrival delays for all flights is the same.

Alternative hypothesis: The mean of arrival delays for at least one flight differs.

As a result, it can be stated that there is sufficient evidence to conclude that the mean arrival delay for all flights is equal.

As per the conclusion, the mean arrival delay for all three flights is equal. Thus, no flight is different from the rest based on the arrival delay time.

Thus, it is difficult to help the passenger select one of these flights.