Outlier Detection Calculator
Detect outliers using IQR bounds, z-score bounds, and modified z-score methods. Determine whether a data point is an outlier using configurable thresholds.
Inputs
Results
IQR Outlier?
No
Z-Score Outlier?
Yes
How to Use This Calculator
- Enter the dataset values or summary statistics (mean and standard deviation).
- Set the Z-score threshold (typically 2.5-3.5) or IQR multiplier (typically 1.5).
- Review the number and percentage of detected outliers.
- Investigate outliers to determine if they are data errors or genuine extreme events.
- Decide whether to remove, cap, or retain outliers based on your analysis goals.
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