Mathematics

Mathematics, 16.07.2019 00:30, HannahJuik

The two-way table below displays information about passengers on a commercial flight. passenger data first class coach checked bags 10 81 did not check bags 14 57 what percentage of coach passengers did not check bags? round to the nearest tenth. 35.2% 41.3% 70.4% 80.3%

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Mathematics, 18.09.2019 00:30, joel53

An airline charges the following baggage fees: $25 for the first bag and $35 for the second. suppose 54% of passengers have no checked luggage, 34% have one piece of checked luggage and 12% have two pieces. we suppose a negligible portion of people check more than two bags. a) build a probability model, compute the average revenue per passenger, and compute the corresponding standard deviation. b) about how much revenue should the airline expect for a flight of 120 passengers? with what standard deviation? note any assumptions you make and whether you think they are justified.

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Business, 20.09.2019 05:30, shadenShaden2037

6. baggage fees. (2.38 in is) an airline charges the following baggage fees: $25 for the first bag and $35 for the second. suppose 54% of passengers have no checked luggage, 34% have one piece of checked luggage and 12% have two pieces. we suppose a negligible portion of people check more than two bags. a) build a probability model, compute the average revenue per passenger, and compute the corresponding standard deviation. b) about how much revenue should the airline expect for a flight of 120 passengers

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Business, 23.09.2019 23:20, irvinbhangal2

Frightproof commuter airlines is considering adding a new flight to its current schedule from metro to hicksville. this route has the following prices and costs. selling price per passenger per flight $ 70 variable cost per passenger per flight $ 20 fixed cost per flight $ 4,400 income tax rate 30 % required: a. compute frightproof's break-even point in number of passengers per flight. b. how many passengers per flight must frightproof have to earn $1,750 per flight after taxes?

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Mathematics, 23.10.2019 21:00, 250878

An airline has sold 560 tickets for a certain flight (with capacity 555 seats) in the assumption that not all passengers that purchased a ticket will arrive for the flight. assume that the probability that a passenger will not show up for the flight is 1%, independently of all other passengers. how likely is it that there are more passengers showing up for the flight than seats are available? calculate this probability by using a binomial distribution for the number of passengers that showed up for the flight.

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