Hello, I am struggling with this section of my chapter and need help! Doesn't have to be every question, whatever is convenient. Thank you!

Most major airlines allow passengers to carry two pieces of luggage (of a certain maximum size) onto the plane. However, their studies show that the more carry-on baggage passengers have, the longer it takes to unload and load passengers. One regional airline is considering changing its policy to allow only one carry-on per passenger. Before doing so, it decided to collect some data. Specifically, a random sample of 1,000 passengers was selected. The passengers were observed, and the number of bags carried on the plane was noted. Out of the 1,000 passengers, 361 had more than one bag. Complete parts a through d below. Click the icon to view a table of critical values for commonly used confidence levels. a. Based on this sample, develop and interpret a 90% confidence interval estimate for the proportion of the traveling population that would have been impacted had the one-bag limit been in effect. Determine the confidence interval. (Round to three decimal places as needed. Use ascending order.) Which statement below correctly interprets the confidence interval? O A. There is a 0.90 probability that the population proportion of passengers with more than one carry-on bag is in the interval. O B. There is a 0.90 probability that the sample proportion of passengers with more than one carry-on bag is in the interval. O C. There is 90% confidence that the population proportion of passengers with more than one carry-on bag is in the interval. O D. Of all the possible population proportions of passengers with more than one carry-on bag, 90% are in the interval. b. A certain plane has a capacity for 496 passengers. Determine an interval estimate of the number of passengers that you would expect to carry more than one piece of luggage on the plane. Assume the plane is at its passenger capacity. An interval estimate is from |to passengers. (Round to the nearest whole number as needed.)1 Critical Values for Commonly Used Confidence Levels X Confidence Level Critical Value 80% Z = 1.28 90% Z = 1.645 95% Z = 1.96 99% Z = 2.575