Mean Absolute Deviation Calculator
Calculate the mean absolute deviation of a set of values from their mean.
Frequently Asked Questions (FAQs):
- What is mean absolute deviation (MAD), and why is it important?
- Mean Absolute Deviation is a measure of how spread out data points are around the mean. It’s important in statistics for quantifying variability and understanding the average distance of data from the mean.
- What is the formula for calculating mean absolute deviation?
- The formula for calculating the mean absolute deviation of a dataset with n values, denoted as x₁, x₂, …, xₙ, is:
- Where n is the number of values in the dataset and x̄ is the mean of the dataset.
- How do I interpret mean absolute deviation values?
- Mean Absolute Deviation provides a measure of data variability. Smaller MAD indicates data points are closer to the mean, while larger MAD suggests greater variability. It’s a robust way to assess the spread of data, less sensitive to outliers than other measures.