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Binomial distribution problems on overbooking flights
Problem 1Airlines sell more tickets for a flight than the number of available seats (overbooking). They do this because
they know from past experience that only 90% of ticketed passengers actually show up for the flight.
A plane has 9 seats. If the airline sells 11 tickets for a flight, what is the probability that the flight
will be overbooked (the number of passengers who show up is greater than the number of available seats)?
Solution
It is a binomial experiment.
There are 11 potential passengers. The probability that every given passenger will show up is 0.9.
The events for individual passengers are INDEPENDENT.
The question is: find the probability that of 11 passengers that bought tickets, at least 10 will show up
(it is the event "the flight is overbooked").
n = 11 (the number of trials);
p = 0.9 (the probability of "success" to each individual trial);
k >= 10 (the event of overbooking flight).
P(n=11; p=0.9; k>=10) = P(n=11; p=0.9; k=10) + P(n=11; p=0.9; k=11) = + =
= = 0.697 (rounded). ANSWER
Problem 2Suppose that the probability that a passenger will miss a flight is 0.0999.
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 57 passengers.
(a) If 59 tickets are sold, what is the probability that 58 or 59 passengers show up
for the flight resulting in an overbooked flight?
(b) Suppose that 63 tickets are sold. What is the probability that a passenger
will have to be "bumped"?
Solution
Question (a)
It is a binomial experiment.
There are 59 potential passengers. The probability that every given passenger will show up is 1 - 0.0999 = 0.9001.
The events for individual passengers are INDEPENDENT.
The question is: find the probability that of 59 passengers that bought tickets, 58 or 59 will show up
(it is the event "the flight is overbooked").
n = 59 (the number of trials);
p = 0.9001 (the probability of "success" to each individual trial);
k >= 58 (the event of overbooking flight).
P(n=59; p=0.9001; k>=58) = P(n=59; p=0.9001; k=58) + P(n=59; p=0.9001; k=59) = + =
= = 0.01316 (rounded). ANSWER
Question (b)
It is a binomial experiment very similar to part (a).
There are 63 potential passengers. The probability that every given passenger will show up is 1 - 0.0999 = 0.9001.
The events for individual passengers are INDEPENDENT.
The question is: find the probability that of 63 passengers that bought tickets, at least 58 will show up
(it is the event "the flight is overbooked").
n = 63 (the number of trials);
p = 0.9001 (the probability of "success" to each individual trial);
k >= 58 (the event of overbooking flight).
We want to find the probability P = P(n=63; p=0.9001; k>=58)
Go to web-site https://stattrek.com/online-calculator/binomial and use online (free of charge) calculator there.
Its interface is very simple, so even a beginner student can easily work with it.
It facilitate using many-addend formula, so calculations are really easy and fast.
The ANSWER is
P = P(n=63; p=0.9001; k>=58) = 0.3893.
Alternatively, you may use standard function binomcfd on your regular TI-83/84 calculator.
About this function and how to use it read from this web-page https://www.statology.org/binompdf-vs-binomcdf/
The regular calculator will provide the same answer.
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