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?

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 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?

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