Concept explainers
A study was performed concerning medical emergencies on commercial airline flights (Peterson, et al., [16]). A database was constructed based on calls to a medical communications center from 5 domestic and international airlines representing approximately 10% of global passenger flight volume from January 1, 2008 to October 31, 2010. There were 11,920 in-flight medical emergencies (IFM) among 7,198,118 flights during the study period. Assume for this entire problem that there is at most 1 IFM per flight.
Suppose a flight attendant works on 2 flights per day for each of 300 days per year. What is the probability that the flight attendant will encounter at least one IFM over a 1-year period?
Hint: Use the Poisson approximation to the binomial distribution.
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Fundamentals of Biostatistics
- 1. Suppose that, in Example 2.27, 400 units of food A, 600 units of B, and 600 units of C are placed in the test tube each day and the data on daily food consumption by the bacteria (in units per day) are as shown in Table 2.6. How many bacteria of each strain can coexist in the test tube and consume all of the food? Table 2.6 Bacteria Strain I Bacteria Strain II Bacteria Strain III Food A 1 2 0 Food B 2 1 1 Food C 1 1 2arrow_forwardThe scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 15 City 11 30 City 2 22 City 12 55 City 3 20 City 13 25 City 4 20 City 14 55 City 5 23 City 15 10 City 6 21 City 16 15 City 7 99 City 17 77 City 8 24 City 18 22 City 9 24 City 19 22 City 10 33 City 20 29 Construct a 9090 % confidence interval for the average number of papers published in major world cities. _______<μ<________arrow_forward
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