(1 point) BlueSky Air claims that at least 80% of its flights arrive on time. A random sample of 160 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 flight is below what the airline claims)? Part i) What is the parameter of interest?

A. All BlueSky Air flights.

B. The proportion of the 160 BlueSky Air flights that arrive on time.

C. Whether a BlueSky Air flight arrives on time.

D. The proportion of all BlueSky Air flights that arrive on time. Part ii) Let p p be the population proportion of flights that arrive on time. What are the null and alternative hypotheses?

A. Null: p>0.80 p>0.80 . Alternative: p≤0.80 p≤0.80 .

B. Null: p<0.80 p<0.80 . Alternative: p≥0.80 p≥0.80 .

C. Null: p=115/160 p=115/160 . Alternative: p≠115/160 p≠115/160 .

D. Null: p=0.80 p=0.80 . Alternative: p>0.80 p>0.80 .

E. Null: p=0.80 p=0.80 . Alternative: p≠0.80 p≠0.80 .

F. Null: p=0.80 p=0.80 . Alternative: p<0.80 p<0.80 .

Part iii) Compute the P-value (please round to four decimal places): Part iv) The P P -value is computed to be [P-value] (your answer in Part iii). Using all of the information available to you, which of the following is/are correct? (check all that apply)

A. The observed proportion of flights that arrive on time is unusually high if BlueSky Air's claim is false.

B. The observed proportion of flights that arrive on time is unusually low if BlueSky Air's claim is false.

C. Assuming BlueSky's claim is false, there is a [P-value] probability that in a random sample of 160 flights, 115 or fewer flights arrive on time.

D. The observed proportion of flights that arrive on time is unusually low if BlueSky Air's claim is true.

E. Assuming BlueSky's claim is true, there is a [P-value] probability that in a random sample of 160 flights, 115 or fewer flights arrive on time.

F. There is a [P-value] probability that BlueSky Air's claim is true. G. The observed proportion of flights that arrive on time is unusually high if BlueSky Air's claim is true. Part v) What is an appropriate conclusion for the hypothesis test at the 1% significance level?

A. There is sufficient evidence to contradict BlueSky Air's claim.

B. There is sufficient evidence to support BlueSky Air's claim.

C. BlueSky Air's claim is false.

D. BlueSky Air's claim is true.

Part vi) Which of the following scenarios describe the Type I error of the test?

A. The data suggest that BlueSky Air's claim is true when in fact the claim is false.

B. The data suggest that BlueSky Air's claim is true when in fact the claim is true.

C. The data suggest that BlueSky Air's claim is false when in fact the claim is true.

D. The data suggest that BlueSky Air's claim is false when in fact the claim is false.

Part vii) Based on the result of the hypothesis test, which of the following types of errors are we in a position of committing?

A. Neither Type I nor Type II errors.

B. Type I error only.

C. Type II error only.

D. Both Type I and Type II errors.

Answer rating: 100% (QA)

1 From the information observe that Blue sky air claims that at least 80 of its flights arrive on time Consider a random sample of 160 Blue Sky Air flights revealed that 115 arrive on time The paramet... View the full answer