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BlueSky Air claims that at least 80% of its flights arrive on time

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BlueSky Air claims that at least 80% of its flights arrive on time. A random sample of 163 BlueSky Air flights revealed that 115 arrive on time. Do the data provide sufficient evidence to contradict the claim by BlueSky Air? (i.e., you would like to see whether the percentage of the airline's flights on time is below what the airline claims)? Part (a) What is the parameter of interest? O A. The proportion of the 163 BlueSky Air flights that arrive on time. O B. All BlueSky Air flights. O C. Whether a BlueSky Air flight arrives on time. O D. The proportion of all BlueSky Air flights that arrive on time. Part (b) Let p be the population proportion of flights that arrive on time. What are the null and alternative hypotheses? O A. Null: p < 0.80. Alternative: p 2 0.80. O B. Null: p > 0.80. Alternative: p < 0.80. O C. Null: p = 0.80. Alternative: p # 0.80. O D. Null: p = 0.80. Alternative: p > 0.80. O E. Null: p = 0.80. Alternative: p < 0.80. OF. Null: p = 115/163. Alternative: p # 115/163. Part (c) Compute the P-value (please round to four decimal places): Part (d) The P-value is computed to be [P-value] (your answer in Part(c)). Using all of the information available to you, which of the following is/are correct? (check all that apply) ()A. Assuming BlueSky's claim is true, there is a [P-value] probability that in a random sample of 163 flights, 115 or fewer flights arrive on time. OB. The observed proportion of flights that arrive on time is unusually low if BlueSky Air's claim is true. [ C. The observed proportion of flights that arrive on time is unusually high if BlueSky Air's claim is false. [D. There is a [P-value] probability that BlueSky Air's claim is true. E. Assuming BlueSky's claim is false, there is a [P-value] probability that in a random sample of 163 flights, 115 or fewer flights arrive on time. OF. The observed proportion of flights that arrive on time is unusually low if BlueSky Air's claim is false. Part (e) What is an appropriate conclusion for the hypothesis test at the 5% significance level? O A. BlueSky Air's claim is true. O B. BlueSky Air's claim is false. O C. There is sufficient evidence to contradict BlueSky Air's claim. O D. There is sufficient evidence to support BlueSky Air's claim. Part (f) Which of the following scenarios describe the Type I error of the test? O A. The data suggest that BlueSky Air's claim is true when in fact the claim is false. O B. The data suggest that BlueSky Air's claim is true when in fact the claim is true. O C. The data suggest that BlueSky Air's claim is false when in fact the claim is true. OD. The data suggest that BlueSky Air's claim is false when in fact the claim is false. Part (g) Based on the result of the hypothesis test, which of the following types of errors are we in a position of committing? O A. Neither Type I nor Type II errors. O B. Both Type I and Type II errors. O C. Type II error only. O D. Type I error only.