Mean Absolute Deviation (MAD)

Front

What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion or spread of a set of data points. It calculates the average distance between each data point and the mean of the data set.

Front

How do you calculate the Mean Absolute Deviation?

Back

1. Find the mean of the data set. 2. Calculate the absolute value of the difference between each data point and the mean. 3. Find the average of these absolute differences.

Front

What is the first step in calculating MAD?

Back

Find the mean of the data set.

Front

What does the absolute value represent in MAD calculations?

Back

The absolute value represents the distance from the mean, ignoring whether the data point is above or below the mean.

Front

If the data set is 10, 9, 3, 8, 10, what is the mean?

Back

The mean is 8.

Front

Given the data set 10, 9, 3, 8, 10, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 2.

Front

What does a lower MAD indicate about a data set?

Back

A lower MAD indicates that the data points are closer to the mean, suggesting more consistency.

Front

What does a higher MAD indicate about a data set?

Back

A higher MAD indicates that the data points are more spread out from the mean, suggesting less consistency.

Front

In the data set 58, 38, 54, 48, 26, 40, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 9.33.

Front

Which is more consistent: a MAD of 3.8 or a MAD of 4.9?

Back

A MAD of 3.8 is more consistent.