📈 Mean Absolute Deviation (MAD) Calculator

Statistical Measure: MAD measures the average absolute distance between each data point and the mean, providing insight into data variability and spread.

Practical Applications: Quality control, risk assessment, performance evaluation, and any analysis requiring understanding of data consistency and deviation patterns.

Easy to Interpret: Unlike variance, MAD uses the same units as your original data, making it intuitive to understand and communicate to non-technical audiences.

📊 MAD Calculator

Mean Absolute Deviation Formula:

MAD = Σ|xi - x̄| / n
Where:
• Σ = summation symbol (add all values)
• xi = each individual data value
• x̄ = mean (average) of all data values
• |xi - x̄| = absolute difference from mean
• n = total number of data values
Enter your data values separated by commas. You can include decimals and negative numbers.

📝 Example Input:

10, 34, 23, 54, 9

📚 Important Notes

Data Requirements: Enter at least 2 numerical values. MAD is sensitive to extreme values (outliers) which can significantly affect the result. For datasets with extreme outliers, consider using median absolute deviation or other robust measures.