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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! 1

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!

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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 = 2.575c. Suppose the airline also noted whether the passenger was male or female. Out of the 1,000 passengers observed, 686 were female. Of this group, 269 had more than one bag. Using these data, obtain and interpret a 90% confidence interval estimate for the proportion of female passengers in the population who would have been affected by the one-bag limit. 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 female passengers with more than one carry-on bag is in the interval. O B. Of all the possible population proportions of female passengers with more than one carry-on bag, 90% are in the interval. O C. There is a 0.90 probability that the sample proportion of female passengers with more than one carry-on bag is in the interval. O D. There is 90% confidence that the population proportion of female passengers with more than one carry-on bag is in the interval. d. Suppose the airline decides to conduct a survey of its customers to determine their opinion of the proposed one-bag limit. The plan calls for a random sample of customers on different flights to be given a short written survey to complete during the flight. One key question on the survey will be: "Do you approve of limiting the number of carry-on bags to a maximum of one bag?" Airline managers expect that only about 10% will say "yes." Based on this assumption, what size sample should the airline take if it wants to develop a 90% confidence interval estimate for the population proportion who will say "yes" with a margin of error of + 0.05? The airline should survey passengers. (Round up to the nearest whole number as needed.)

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