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DY0-001 · Question #10

A data scientist observes findings that indicate that as electrical grids in a country become more and more connected over time, the frequency of brownouts and blackouts in total decrease, and the…

The correct answer is B. Kurtosis. Kurtosis quantifies how heavy or light the tails of a distribution are. In this case, fewer overall events but more extreme (major) brownouts/blackouts indicates heavier tails over time. This is exactly what an increasing kurtosis would reveal.

Mathematics and Statistics

Question

A data scientist observes findings that indicate that as electrical grids in a country become more and more connected over time, the frequency of brownouts and blackouts in total decrease, and the frequency of major brownouts and blackouts increase. Which of the following distribution metrics could best be identified?

Options

  • AScale axis magnitudes
  • BKurtosis
  • CSkewness
  • DNormality

How the community answered

(30 responses)
  • A
    3% (1)
  • B
    73% (22)
  • C
    13% (4)
  • D
    10% (3)

Explanation

Kurtosis quantifies how heavy or light the tails of a distribution are. In this case, fewer overall events but more extreme (major) brownouts/blackouts indicates heavier tails over time. This is exactly what an increasing kurtosis would reveal.

Topics

#kurtosis#distribution metrics#statistical analysis#tail behavior

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