What is Mean Absolute Deviation?

Mean Absolute Deviation (MAD) is a measure of variability in a dataset that calculates the average distance between each data point and the mean of the dataset. It provides insight into how spread out the data is from its central tendency. MAD is particularly useful when working with datasets that may contain outliers, as it is less sensitive to extreme values compared to other measures like standard deviation.

How to Use the Mean Absolute Deviation Calculator

Step 1: Enter your data set

In the input field provided, enter your numerical data set. Separate each number with a comma. For example, you might enter “10, 15, 20, 25, 30” without the quotation marks.

Step 2: Review your input

Double-check that you’ve entered all the numbers correctly and that there are no extra spaces or invalid characters.

Step 3: Click the “Calculate MAD” button

Once you’re satisfied with your input, click the blue “Calculate MAD” button. This will trigger the calculation process.

Step 4: Interpret the results

The calculator will display the results, including the mean of your dataset and the Mean Absolute Deviation. You’ll also see an explanation of how the MAD was calculated.

Step 5: Analyze the explanation

Read through the provided explanation to understand the steps involved in calculating the MAD. This will help you interpret the result in the context of your data.