Outlier Calculator
Identify outliers in a dataset using the Interquartile Range (IQR) method. Enter comma-separated numbers to find potential outliers.
Published by:
isCalculator Editorial Team
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How to use this tool?
How to Use the Outlier Calculator
- Enter your dataset in the text area. Separate numbers by commas or spaces (e.g., 1, 2, 3, 4, 100).
- Click "Calculate Outliers" or press Enter on your keyboard.
- View the results below the button:
- Q1 (25th percentile) and Q3 (75th percentile) of your data.
- IQR (Interquartile Range) = Q3 - Q1.
- Outliers listed as numbers below the lower fence (Q1 - 1.5×IQR) or above the upper fence (Q3 + 1.5×IQR).
Tip: Use any numeric values (positive, negative, decimals). The calculator automatically sorts and detects outliers using the standard 1.5×IQR rule.
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Frequently Asked Questions
An outlier is a data point that differs significantly from other observations. It may be due to variability in measurement or indicate experimental errors.
The IQR method calculates the interquartile range (Q3-Q1) and defines outliers as values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.
Yes, as long as the data is numeric and you have at least 4 data points for meaningful quartiles.
