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並前往https://www.khanacademy.org/math/statistics-probability/summarizing-quantitative-data/box-whisker-plots/a/identifying-outliers-iqr-rule

Identifying outliers with the 1.5xIQR rule (article) - Khan ...

A commonly used rule says that a data point is an outlier if it is more than 1.5 ⋅ IQR 1.5\cdot \text{IQR} 1.5⋅IQR1, point, 5, dot, start text, I, Q, R, ...

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