3. 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. +2s) and express the interval count c) Count the number of measurements that actually fall within the interval( - 2s, as a percentage of total number of measurements.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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3. 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.
c) Count the number of measurements that actually fall within the interval( - 2s, ī+2s) and express the interval count
as a percentage of total number of measurements.
68%
at least 75%
100%
95%
Transcribed Image Text:3. 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. c) Count the number of measurements that actually fall within the interval( - 2s, ī+2s) and express the interval count as a percentage of total number of measurements. 68% at least 75% 100% 95%
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