Differentiating between combinatorics and probability

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SUMMARY

The discussion centers on calculating the probability that more passengers show up for a flight than available seats on a commuter plane with 30 seats and 32 tickets sold. The correct approach involves using the binomial distribution, specifically the formula for the probability of exactly 31 or 32 passengers showing up. This is expressed as 32 choose 32 multiplied by (0.9)^32 for 32 passengers and 32 choose 31 multiplied by (0.9)^31 and (0.1)^1 for 31 passengers. The 'choosing' part accounts for the different combinations of passengers who may not show up.

PREREQUISITES
  • Understanding of binomial distribution
  • Knowledge of probability theory
  • Familiarity with combinatorial mathematics
  • Basic statistical concepts
NEXT STEPS
  • Study the binomial distribution in detail
  • Learn how to calculate combinations using "n choose k" notation
  • Explore real-world applications of probability in airline operations
  • Investigate advanced probability concepts such as Poisson distribution
USEFUL FOR

Students studying probability and statistics, educators teaching combinatorial mathematics, and professionals in fields requiring statistical analysis, such as operations research and risk management.

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.
 

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