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Interview question

  • seniorlevel
  • 10 minsuggested time
  • 2Data scientist, Data analyst

You need a 95% interval for average ancillary revenue per passenger. Most passengers spend nothing and a few spend a lot (group upgrades, excess baggage). How do you build the interval, and what would make you distrust it?

Tests: Inference on heavy-tailed, zero-inflated data: behaviour of the sampling distribution, bootstrap limits, robust alternatives, and matching the estimand to the decision.

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