Absolute Deviation Calculator
Mean Absolute Deviation Calculator works out Count (n) and Sum from Data set, Quartile method and Outlier fence multiplier. The default figures on this page give mean absolute deviation of 1.5; change any entry and the result, the working and the sources update together.
Your figures
Updates as you typeHow this is worked out
8 steps
- Sorted data (n = 8): 2, 4, 4, 4, 5, 5, 7, 9
- Mean = 40 / 8 = 5
- Median = average of the two middle values = 4.5
- Sum of squared deviations SS = 32
- Sample variance = SS / (n - 1) = 32 / 7 = 4.57142857, so s = 2.13808994
- Population variance = SS / n = 32 / 8 = 4, so sigma = 2
- Quartiles (linear method): Q1 = 4, Q2 = 4.5, Q3 = 5.5, IQR = 1.5
- Outlier fences = Q1 - 1.5 x IQR = 1.75 and Q3 + 1.5 x IQR = 7.75
Modal valuestable
Outlierstable
Five-number summarytable
Sorted datatable
Its 5 worked examples are re-run on every release, last on 15 September 2026. What changed
Sources and references
4 sources
What the Mean Absolute Deviation Calculator calculates
Computes the full descriptive summary of a data set: count, sum, mean, median, mode, range, midrange, sample and population variance and standard deviation, quartiles, interquartile range, percentiles, the five-number summary, Tukey outlier fences, mean and median absolute deviation, coefficient of variation, skewness and excess kurtosis.
How to use this Mean Absolute Deviation Calculator
Enter Data set, Quartile method and Outlier fence multiplier. Count (n) updates as you type. Change one figure at a time to see what drives the result.
How the result is worked out
Open “How this is worked out” beside the result for the step-by-step calculation behind Count (n), Sum and Mean.
The method follows NIST/SEMATECH e-Handbook of Statistical Methods, section 1.3.5 Quantitative Techniques, Hyndman, R.J. & Fan, Y. (1996), "Sample Quantiles in Statistical Packages", The American Statistician 50(4), 361-365, Tukey, J.W. (1977), Exploratory Data Analysis, Addison-Wesley and Joanes, D.N. & Gill, C.A. (1998), "Comparing measures of sample skewness and kurtosis", The Statistician 47(1), 183-189.
What you can compare
Change one input at a time to see how it affects Count (n), Sum and Mean. The inputs you can vary are Data set, Quartile method and Outlier fence multiplier.
Results are general information, not financial, tax, legal, medical or engineering advice. Check any decision that matters with a qualified professional.
See something wrong? Report a problem with this calculator
Frequently asked questions
What is the mean absolute deviation of 8 4 8 8 10 2 4 4?
On the figures this page opens with, the mean absolute deviation is 1.5. No single number fits everyone: it follows Data set, Quartile method and Outlier fence multiplier, so enter your own above and the answer updates as you type.
What is MAD and how to calculate it?
Computes the full descriptive summary of a data set: count, sum, mean, median, mode, range, midrange, sample and population variance and standard deviation, quartiles, interquartile range, percentiles. Open “How this is worked out” beside the result to see each step for your own figures.
What is the mean absolute deviation of 10 4 12 4 2 10 10 6?
It needs Data set, Quartile method and Outlier fence multiplier. Nothing else is required, and the figures stay in your browser.
How do you calculate MAD?
The result gives Count (n), Sum, Mean, Median, Mode and Modal values, each labelled with its unit so the figure can be read on its own.
What information do I need for the Mean Absolute Deviation Calculator?
You need Data set, Quartile method and Outlier fence multiplier. The page opens with default figures that give mean absolute deviation of 1.5, so you can see the scale before entering your own.
What does this Mean Absolute Deviation Calculator show?
It shows Count (n), Sum, Mean, Median, Mode, Modal values, Minimum and Maximum, with the working and any warnings for your entries.