Lesson Binomial distribution problems on overbooking flights

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Binomial distribution problems on overbooking flights


Problem 1

Airlines 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) = C%5B11%5D%5E10%2A0.9%5E10%2A0.1 + C%5B11%5D%5E11%2A0.9%5E11 =

   = 11%2A0.9%5E10%2A0.1+%2B+0.9%5E11 = 0.697  (rounded).    ANSWER

Problem 2

Suppose 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) = C%5B59%5D%5E58%2A0.9001%5E58%2A0.0999 + C%5B59%5D%5E59%2A0.9001%5E59 =

   = 59%2A0.9001%5E58%2A0.0999+%2B+0.0999%5E59 = 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.


My other lessons on  Probability  in this section are
    - Probabilistic analysis of a court verdicts
    - A company bids on two separate contracts
    - Advanced probability problems related to combinations
    - Using cumulative sums and relevant standard functions to solve problems on Binomial Distributions
    - Miscellaneous binomial distribution problems
    - Advanced probability problems on binomial distribution
    - Accepting/rejecting shipments via acceptance procedures
    - Probabilistic analysis of testing procedures in health care
    - Probabilistic analysis of testing procedures in industry
    - Probability problems on games
    - Probability problem on winning a many-rounds game
    - A Math circle level probability problem on a lottery game
    - Upper league entertainment probability problems
    - Upper league probability problems on Stars and Bars methodology
    - Upper league problem to maximize winning in a game with 20-sided rolling die
    - Upper league problems on conditional probability
    - Upper League geometric probability problems
    - Probability problems on long chains of related events
    - Probability problems similar to a coinciding birthdays problem
    - Using empirical rules to determine normal distribution probabilities
    - OVERVIEW of lessons on Probability, section 3


Use this file/link  OVERVIEW of lessons on Probability  to navigate over all my lessons on  Probability problems  (section 1)  in this site.

Use this file/link  OVERVIEW of my additional lessons on Probability  to navigate over all my lessons on additional  Probability problems  (section 2)  in this site.

Use this file/link  ALGEBRA-II - YOUR ONLINE TEXTBOOK  to navigate over all topics and lessons of the online textbook  ALGEBRA-II.



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