Differentiating between combinatorics and probability

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The discussion centers on calculating the probability that more passengers show up than available seats on a commuter plane with 30 seats and 32 tickets sold. The correct approach involves using the binomial distribution to account for the independent probabilities of passengers showing up or not. Specifically, the probability of exactly 31 passengers showing up includes the chance that one specific passenger does not show up, necessitating the use of combinations to select which passenger that is. The confusion arises from understanding why the "choosing" aspect and the multiplication by the probability of a passenger not showing up are necessary. Overall, the solution requires a clear application of combinatorial principles in conjunction with probability calculations.
semidevil
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Homework Statement



A small commuter plane has 30 seats. The probability that any particular passenger will not show up
for a flight is 0.10, independent of other passengers. The airline sells 32 tickets for the flight. Calculate the probability that more passengers show up for the flight than there are seats available.




The Attempt at a Solution


I know the the approach to the solution is 32 choose 32 * (.9)^32 + 32 choose 31 * ((.9)^31) * ((.1)^1), but I don't understand why.

My first approach was to read this as a simple probability problem. The Probability that more than 30 will show up means the probability that 31 will show up, *OR* the probability that 32 will show up.

Probability of 31 showing up = .9^(31), since each person has a .9 chance of showing.
Probability of 32 showing up = .9^(32), since each person has a .9 chance of showing

P[31] or P[32] means .9^(31) + .9^(32)

I don't understand where the 'choosing' part comes to play. and I don't understand why we multiply (.1)^1.
 
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semidevil said:

Homework Statement



A small commuter plane has 30 seats. The probability that any particular passenger will not show up
for a flight is 0.10, independent of other passengers. The airline sells 32 tickets for the flight. Calculate the probability that more passengers show up for the flight than there are seats available.




The Attempt at a Solution


I know the the approach to the solution is 32 choose 32 * (.9)^32 + 32 choose 31 * ((.9)^31) * ((.1)^1), but I don't understand why.

My first approach was to read this as a simple probability problem. The Probability that more than 30 will show up means the probability that 31 will show up, *OR* the probability that 32 will show up.

Probability of 31 showing up = .9^(31), since each person has a .9 chance of showing.
Probability of 32 showing up = .9^(32), since each person has a .9 chance of showing

P[31] or P[32] means .9^(31) + .9^(32)

I don't understand where the 'choosing' part comes to play. and I don't understand why we multiply (.1)^1.

Do you have a textbook or course notes? Surely these concepts must be explained therein. If not, just Google "binomial distribution'.

Briefly, however, you seem to be forgetting that if *exactly* 31 show up then one does *not* show up, and the probability of that is 0.1; altogether, you have (0.9)^31 * (0.1). Furthermore, anyone of the 32 ticket holders could be the one that does not show up, so you need to choose that one from 32.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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