Linked from

The 8 pages that link to Interquartile range, each with the reason it gives.

• VarianceCompared with: It describes the middle half of values rather than weighting every squared deviation.

• Standard deviationCompared with: It describes central spread while resisting outliers that can inflate standard deviation.

• OutlierRelated: The 1.5-times-IQR rule flags observations far beyond the central half of a dataset.

• Descriptive statisticsRelated: It measures the spread of the middle half of the observations.

• Box plotRelated: The box’s length represents this central spread.

• QuartileRelated: It uses two quartile markers to summarize the central spread.

• KurtosisCompared with: Unlike kurtosis, it describes the middle half of observations and resists extreme values.

• Violin plotRelated: An overlaid box commonly spans this range within the violin.