The Outlier Detection Calculator identifies data points that significantly deviate from the overall pattern of a dataset using the interquartile range (IQR) method. It calculates the first quartile (Q1), third quartile (Q3), and IQR, then establishes boundaries at Q1−1.5×IQRQ1 – 1.5 \times IQRQ1−1.5×IQR and Q3+1.5×IQRQ3 + 1.5 \times IQRQ3+1.5×IQR. Any value outside these limits is classified as an outlier. This calculator is helpful in data analysis to detect unusual observations that may distort results, ensuring that statistical conclusions are accurate and reliable.