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An airline tracks data on its flight arrivals. Over the past six mon.docx

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The airline tracked arrival data for 250 flights over 6 months, with 25 arriving early, 150 on time, 45 late, and 30 cancelled. The probability of a flight being early is 25/250 = 0.1, on time is 150/250 = 0.6, late is 45/250 = 0.18, and cancelled is 30/250 = 0.12. The outcomes are mutually exclusive since a flight can only be in one category. The probability of a flight being early or on time is (25+150)/250 = 0.7.

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An airline tracks data on its flight arrivals. Over the past six months, 25 flights on one route arrived early, 150 arrived on time, 45 were late, and 30 were cancelled. a. What is the probability that a flight is early? On time? Late? Cancelled? b. Are these outcomes mutually exclusive? c. What is the probability that a flight is either early or on time?

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An airline tracks data on its flight arrivals. Over the past six mon.docx

  • 1. An airline tracks data on its flight arrivals. Over the past six months, 25 flights on one route arrived early, 150 arrived on time, 45 were late, and 30 were cancelled. a. What is the probability that a flight is early? On time? Late? Cancelled? b. Are these outcomes mutually exclusive? c. What is the probability that a flight is either early or on time?