Choose the central point (e.g., mean, median, mode) and enter the dataset values to calculate the mean absolute deviation (MAD).
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The online Mean Absolute Deviation (MAD) calculator helps you quickly measure the dispersion of a dataset. It computes how far each value in the dataset deviates from the mean, median, or any specified number, providing a clear understanding of data variability. Keep reading to learn the formula, manual calculation steps, and more!
Mean Absolute Deviation (MAD) is the average of the absolute differences between each data point and a chosen central value (usually the mean or median). The formula for MAD is:
$$ MAD = \frac{\Sigma |x_i - c|}{n} $$
Where:
Let’s go through an example to understand MAD calculation:
Example:
Find the MAD for the dataset: 6, 12, 8, 10, 14, 4
Solution:
Step 1: Identify the data points:
Step 2: Calculate the mean:
\( m = \frac{6 + 12 + 8 + 10 + 14 + 4}{6} = \frac{54}{6} = 9 \)
Step 3: Determine deviations from the mean:
6 - 9 = -3
12 - 9 = 3
8 - 9 = -1
10 - 9 = 1
14 - 9 = 5
4 - 9 = -5
Step 4: Take the absolute value of each deviation:
|-3| = 3, |3| = 3, |-1| = 1, |1| = 1, |5| = 5, |-5| = 5
Step 5: Compute the mean of absolute deviations:
\( MAD = \frac{3 + 3 + 1 + 1 + 5 + 5}{6} = \frac{18}{6} = 3 \)
Thus, the mean absolute deviation of the dataset is 3.
For convenience, you can also use our online mean, median, and mode calculator to quickly find the central values before calculating MAD.
The online MAD calculator simplifies the process. Follow these steps:
Inputs:
Note: If you select 'Other', enter the specific value around which deviations are measured.
Outputs:
MAD is a valuable tool for understanding data spread. It provides a clear measure of variability and is especially useful in statistics and probability. Using an online MAD calculator saves time and ensures accuracy compared to manual calculations.
Wikipedia: Mean Absolute Deviation. Khan Academy: MAD Calculation Guide. MathBits Notebook: Facts about MAD.
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