Suppose that the probability that a passenger will miss a flight is 0.0959. Airlines do not like flights with empty seats, but it is also not desirableflights because passengers must be "bumped" from the flight. Suppose that an airplane has a seating capacity of 53 passengers.(a) If 55 tickets are sold, what is the probability that 54 or 55 passengers show up for the flight resulting in an overbooked flight?(b) Suppose that 59 tickets are sold. What is the probability that a passenger will have to be "bumped"?(c) For a plane with seating capacity of 280 passengers, what is the largest number of tickets that can be sold to keep the probability of a passenger being "bumped"have overbookedbelow 1%?(a) The probability of an overbooked flight is .(Round to four decimal places as needed.)

Answered: Image /qna-images/answer/40a9f82e-0f13-4743-8e3e-4fd584cab46f.jpg

Answered: Suppose that the probability that a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose that the probability that a passenger will miss a flight is 0.0901. Airlines do not like flights with empty seats, but it is also not desirable to have overbooked flights because passengers must be "bumped" from the flight. Suppose that an airplane has a seating capacity of 54 passengers. (a) If 56 tickets are sold, what is the probability that 55 or 56 passengers show up for the flight resulting in an overbooked flight? (b) Suppose that 60 tickets are sold. What is the probability that a passenger will have to be "bumped"? (c) For a plane with seating capacity of 250 passengers, what is the largest number of tickets that can be sold to keep the probability of a passenger being "bumped" below 1%?
According to an airline, flights on a certain route are on time 75% of the time. Suppose 25 flights are randomly selected and the number of on-time flights is recorded. N=25 P=0.75 (c) Find and interpret the probability that exactly 14 flights are on time. (d) Find and interpret the probability that fewer than 14 flights are on time. (e) Find and interpret the probability that at least 14 flights are on time. (f) Find and interpret the probability that between 12 and 14 flights, inclusive, are on time. (c) The probability that exactly 14 flights are on time is ____? (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected that about ____ will result in exactly 14 flights being on time. (Round to nearest whole number as needed) (d) The probability that fewer than 14 flights are on time is ____? (Round to four decimal places as needed.) Interpret the probability. In 100 trials of this experiment, it is expected…

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