Algebra ll
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An airline’s weekly flight data showed a 98% probability of being on time. If this airline has 15,000 flights in a year, how many flights would you predict to arrive on time? Explain whether you can use the data to predict
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According to an airline, a particular flight is on time 75% of the time. Suppose 140 flights are randomly selected and the number of on time flights is recorded. Determine if you should use the Binomial model or Normal model to
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Suppose flights at a large metropolitan airport are ontime 68% of the time and late 32% of the time. We want to use a table of random digits to simulate flight status (ontime or late), so we'll assign 01, 02, … , 68 to
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1. A certain airline has 10 flights a day from N.Y. to Chicago. From chicago there are 8 flights a day to L.A. Can you conclude that there are 80 possible ways to book a flight from N.Y. to L.A. via chicago? Explain
asked by Allyx3 on April 6, 2013 
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1. A certain airline has 10 flights a day from N.Y. to Chicago. From chicago there are 8 flights a day to L.A. Can you conclude that there are 80 possible ways to book a flight from N.Y. to L.A. via chicago? Explain
asked by Anonymous on April 7, 2013 
Statistics Question
Consumer Reports rated airlines and found that 80% of flights involved in the study arrived on time (that is, within 15 minutes of scheduled arrival time). Assuming that the ontime rate is representive of the entire commercial
asked by Sam on December 14, 2011 
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Consumer Reports rated airlines and found that 80% of flights involved in the study arrived on time (that is, within 15 minutes of scheduled arrival time). Assuming that the ontime rate is representive of the entire commercial
asked by Vickie on December 13, 2011 
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Consumer Reports rated airlines and found that 80% of flights involved in the study arrived on time (that is, within 15 minutes of scheduled arrival time). Assuming that the ontime rate is representive of the entire commercial
asked by Sam on December 13, 2011