Can I please get some help with this answer?Thank you

FAA regulations define an airplane to be "on-time" if it takes off within 15 minutes of scheduled departure time. Happy Airlines advertises that at least 90 % of its flights are on time. In a study conducted to test Happy Airlines' advertising claim, 50 of 56 randomly selected flights took off "on time". Assuming that the distribution is normal, what can be concluded at the 0.05 level of significance? Ho: p 2 0.90 Ha: P 0.90 Test statistic: (t or z, then a number) Round your answer to 2 decimal places. p-value = Round your answer to four decimal places. p-value Interpretation: If the null hypothesis is then the probability that the sample proportion is is Round numbers to 4 decimals. Decision: (Answer: Reject HO or Do not reject HO)Decision: (Answer: Reject HO or Do not reject HO) Conclusion: There is (sufficient / insufficient) evidence to conclude to that the proportion of ontime flights for Happy Airlines is less than 90%. Which of the following is a Type I error? A. To believe the proportion of ontime flights is equal to 90%, when, in fact, it is more than 90%. B. To believe the proportion of ontime flights is at least 90%, when, in fact, it is less than 90%. C. To believe the proportion of ontime flights is less than 90%, when, in fact, it is at least 90%. D. To believe the proportion of ontime flights is less than 90%, when, in fact, it is more than 90%