What is the Outlier Detection Calculator?

The Outlier Detection Calculator is a tool that helps users identify unusual or extreme values in a dataset. By entering a set of numbers, the calculator sorts the data, computes the first (Q1) and third quartiles (Q3), calculates the interquartile range (IQR), and determines the lower and upper bounds for outliers. Any value outside this range is flagged as an outlier, while values within the bounds are considered normal. This allows analysts, students, and researchers to spot anomalies, clean data, and make more accurate statistical interpretations.

How to Use:

1. Enter Values: Input your dataset as a comma-separated list of numbers (e.g., 10, 12, 15, 18, 50, 22, 25, 100).
2. Click “Calculate”: The tool processes the data, calculates Q1, Q3, IQR, lower and upper bounds, and identifies outliers.
3. Review Result: The output displays the sorted values, quartiles, IQR, bounds, detected outliers, and the values within the normal range, making it easy to visualize which points are unusual.