Computes, the sample s.d. for the data set.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.5: Interpreting Data
Problem 1C
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Question
![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.
a) Compute s, the sample s.d. for the data set.
1.63
16.58
1.71
17.39](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa8f55c18-2057-4361-9aa0-e509a1f08c5c%2F73410a5c-9e89-4bce-81f6-253fd1b071eb%2Fgwe741o_processed.jpeg&w=3840&q=75)
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.
a) Compute s, the sample s.d. for the data set.
1.63
16.58
1.71
17.39
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