IA idea · Probability & chance

How many extra tickets should an airline sell?

AA SLAA HLAI SLAI HL Solid Also in: Finance, Statistics

Research question

For a 180-seat flight with a given no-show rate, how many tickets maximise the airline's expected revenue once compensation for bumped passengers is included?

Adapt it: change the place, the data or the comparison until the question is yours.

Why it makes a good exploration

Airlines deliberately sell more seats than they have. The binomial distribution and expected value give a clear optimum — and the ethics of bumping passengers gives you something real to reflect on.

The mathematics you'll need

  • Binomial distribution of passengers who show up
  • Expected revenue as a function of tickets sold
  • Maximising a discrete function
  • Normal approximation (optional)

Course labels show where a technique sits; using maths from outside your course is fine if you explain it clearly and say it is new to you.

Where the data comes from

Use a published no-show rate range and published compensation rules (e.g., EU Regulation 261/2004 amounts) with citations.

Cite every source in a footnote where you use it and in your bibliography. Check the licence of any dataset you download.

A possible outline

  1. Set up the revenue and compensation model.
  2. Compute expected profit for each number of tickets sold.
  3. Find the optimum and test sensitivity to the no-show rate.
  4. Compare risk (probability of bumping anyone).
  5. Reflect on independence (families and groups travel together).

Pitfalls that cost marks

  • Treating passengers as independent without comment.
  • Using a no-show rate with no source.
  • Ignoring the reputational cost.

Showing personal engagement

  • Use a route you have flown.
  • Include groups travelling together and see how the answer changes.
  • Discuss fairness from the passenger's point of view.

See Criterion C: personal engagement for what examiners look for.

Taking it further

Model group bookings with a compound distribution via simulation.

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