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Multiple Choice

A city planner is analyzing two different datasets to inform policy decisions:

  • Dataset 1: The declared annual income of all households in the city. The data reveals that the top 1% of households hold 30% of the city's total income, and the top 10% hold 75% of the total income.
  • Dataset 2: The measured heights of all adult residents in the city. The data shows that most people's heights are very close to the average height, with very few individuals being exceptionally tall or exceptionally short.

Which dataset would be best modeled by a probability distribution that is highly skewed and has a 'heavy tail,' meaning that a small number of high-magnitude events account for a large portion of the distribution?

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Updated 2025-09-05

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