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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?
Correct Answer: B
# Kurtosis is a statistical measure that describes the "tailedness" or extremity of values in a distribution. The observation that smaller events decrease while extreme events increase indicates a rise in heavy tails - a textbook sign of increasing kurtosis. This reflects a distribution becoming more prone to extreme values (e.g., more impactful blackouts). Why the other options are incorrect: * A: "Scale axis magnitudes" is not a statistical metric but refers to plotting. * C: Skewness measures asymmetry, not the frequency of extreme values. * D: Normality checks whether a distribution follows the normal distribution, not its tail behavior. Official References: * CompTIA DataX (DY0-001) Official Study Guide - Section 1.3:"Kurtosis measures the presence of outliers and extreme values in a distribution - higher kurtosis suggests more frequent extreme events." * Applied Statistical Analysis, Chapter 4:"Kurtosis provides insight into the likelihood of extreme deviations and is useful in risk and reliability analysis." -
