I'm not sure which method is correct (statistics)

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The discussion revolves around calculating the expected payout for an airline that overbooks flights by 5%, leading to 252 passengers booked for a 240-seat plane. The textbook suggests the expected payout is $0, based on the assumption that the average number of no-shows (12) offsets the overbooking. However, some participants argue that this logic is flawed, as there is always a probability of passengers being bumped off, which should result in a non-zero expected payout. They propose using a binomial distribution to calculate the probabilities of various scenarios, indicating that the expected payout cannot logically be zero. The conversation highlights the complexity of expected value calculations in probability and statistics.
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Homework Statement



Pythag-Air-US Airlines has determined that
5% of its customers do not show up for
their flights. If a passenger is bumped off a
flight because of overbooking, the airline
pays the customer $200. What is the
expected payout by the airline, if it
overbooks a 240-seat airplane by 5%?

The Attempt at a Solution



The textbook says the answer is 0. I think they get that by saying that 5% of 240 is 12. So the plane is overbooked by 12. So there are 252 people booked on the plane. Then the binomial expectation is (252*0.95)=239.4. Which means they payout nothing since less than 240 people are expected to show up.

However, I don't really think that's logical...the way I would do it is:

expectation=(200)(probability that 1 is bumped off)+(400)(probability that 2 are bumped off)+...etc, up to 12. Because how could they only be expected to pay out 0 as the textbook says, when sometimes they WILL have to pay out something (there is always a chance someone will get bumped off), which makes it >0.

Just to add, for example, if they were paying a trillion dollars for every person bumped off, the expected value wouldn't be 0 intuitively...just because they have a low chance of paying that, doesn't mean it can't happen.

This is all the solutions manual says:
Since the number of passengers overbooked is equal to the expected number of passengers who
will not show up for their flights, the expected payout is $0.
 
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defetey said:

Homework Statement






The Attempt at a Solution



The textbook says the answer is 0. I think they get that by saying that 5% of 240 is 12. So the plane is overbooked by 12. So there are 252 people booked on the plane. Then the binomial expectation is (252*0.95)=239.4. Which means they payout nothing since less than 240 people are expected to show up.
This sounds eminently reasonable to me.
defetey said:
However, I don't really think that's logical...the way I would do it is:

expectation=(200)(probability that 1 is bumped off)+(400)(probability that 2 are bumped off)+...etc, up to 12. Because how could they only be expected to pay out 0 as the textbook says, when sometimes they WILL have to pay out something (there is always a chance someone will get bumped off), which makes it >0.
But you aren't given any information about these probabilities. All you are given is that, on average, 5% of the booked passengers don't show up.
defetey said:
Just to add, for example, if they were paying a trillion dollars for every person bumped off, the expected value wouldn't be 0 intuitively...just because they have a low chance of paying that, doesn't mean it can't happen.

This is all the solutions manual says:
 
Mark44 said:
This sounds eminently reasonable to me.
But you aren't given any information about these probabilities. All you are given is that, on average, 5% of the booked passengers don't show up.

But that's enough to find the probabilities using a binomial distribution, isn't it?

Ex, to find the probability that one passenger is overbooked:

=252C241(.95)^241(.05)^11
 
I guess this will work, but it seems the long way around.
 
Mark44 said:
I guess this will work, but it seems the long way around.

Yea it will take a lot longer, but the answer won't be 0 for sure though. Like I said, how could the expected payout be zero when there IS a chance they will pay SOMETHING out. That's what I've done for every other question, for http://en.wikipedia.org/wiki/Expected_value#Examples"
 
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