Has the recent drop in airplane passengers resulted in better on-time performanc

Question

Has the recent drop in airplane passengers resulted in better on-time performance? Before the recent economic downturn, one airline bragged that 92% of its flights were on time. A random sample of 165 flights completed this year reveals that 153 were on time. Can we conclude at the 5% significance level that the airline's on-time performance has improved? Step 1: Set up the hypotheses Step 2: Test any assumptions that may need to be satisfied Step 3: (i) Draw the sampling distribution. (ii) Find the critical test statistic at which the rejection region starts. (iii) Mark the critical value and your test statistic in the chart. (iv) Conclude (a full sentence explaining what the conclusion means in the context of the exercise; i.e., not just "we reject" or "we cannot reject") Step 4: Compute the p-value and interpret the p-value

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Has the recent drop in airplane passengers resulted in better on-time performanc

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