Outlier Calculator

Your details

Separate values with commas, spaces, tabs, or new lines.
IQR is the most common; Z-score assumes normality; Modified Z-score is robust to extreme values.
Tukey used 1.5 for mild and 3.0 for extreme outliers. Higher k means fewer points flagged.
Outliers detected1 outlier found
40
Clean values9
Total count10
Minimum4
Q1 (25th percentile)6
Median (Q2)8.5
Q3 (75th percentile)11
Maximum40
Interquartile range (IQR)5
Lower fence-1.5
Upper fence18.5
Mean11.2
Std deviation9.9076
MAD2.5
Mild outliers (1.5 x IQR)40
Extreme outliers (3 x IQR)40
Z-score outliersNone
Modified Z-score outliers40
Clean values9
Total count10

Flagged outlier: 40.

  • The five-number summary: min 4, Q1 6, median 8.5, Q3 11, max 40.
  • The middle 50% of your data spans an IQR of 5 (from Q1 to Q3).
  • 9 of 10 values are clean; the remaining 1 should be investigated before analysis.
  • A flagged value is not automatically an error, it may reflect a genuine rare event. Always investigate before removing.

Next stepCompare the IQR, Z-score, and Modified Z-score results. Values flagged by all three are the strongest candidates for investigation.

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