Asked by Hannah Millican on May 16, 2024

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​In a box plot, data value x is considered an outlier if

A) ​x < Q1 - 1.0(IQR) or x > Q3 + 1.0(IQR) .
B) ​x < Q2 - 1.0(IQR) or x > Q2 + 1.0(IQR) .
C) ​x < Q1 - 1.5(IQR) or x > Q3 + 1.5(IQR) .
D) ​x < Q2 - 1.5(IQR) or x > Q2 + 1.5(IQR) .

Box Plot

A graphical representation of the distribution of a data set, showing the median, quartiles, and outliers, used for depicting the spread and skewness of the data.

Outlier

A data point that diverges significantly from the overall pattern of data in a dataset, potentially indicating a measurement error or a new trend.

IQR

The Interquartile Range (IQR) is a measure of statistical dispersion, being equal to the difference between the 75th and 25th percentiles of a data set.

  • Comprehend the recognition and influence of outliers within a dataset.
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CG
Carolina Garcia GomezMay 17, 2024
Final Answer :
C
Explanation :
The most commonly used definition of an outlier in box plots is any data value less than Q1 - 1.5(IQR) or greater than Q3 + 1.5(IQR). This definition is more robust than the alternatives presented, as it allows some room for variability without including extreme values that may be caused by errors or anomalies in the data. Therefore, choice C is the best answer.