Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. These travelers are known, in the parlance of the hospitality trade, as “no-shows”. To protect against no-shows and late cancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotel industry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for a random sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19. b) What percentage of measurements would you expect to find in the interval (x¯−2s, x¯+2s) bell- shaped?
Travelers who have no intention of showing up often fail to cancel their hotel reservations in a timely manner. These
travelers are known, in the parlance of the hospitality trade, as “no-shows”. To protect against no-shows and late
cancellations, hotels invariably overbook rooms. A recent study examined the problems of over-booking rooms in the hotel
industry. The following data, extracted from the study represent the daily numbers of late cancellations and no-shows for a
random sample of 10 days at a hotel: 18, 16, 16, 16, 14, 18, 16, 18, 14, 19.
b) What percentage of measurements would you expect to find in the interval (x¯−2s, x¯+2s) bell- shaped?
Trending now
This is a popular solution!
Step by step
Solved in 4 steps