Mean Absolute Deviation

Front

What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion of a set of data points. It represents 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. Subtract the mean from each data point and take the absolute value of each result. 3. Find the average of these absolute values.

Front

What is the mean of the data set: 2, 4, 6, 8?

Back

The mean is 5.

Front

What is another term for 'average'?

Back

Mean.

Front

If the data set is 10, 20, 30, what is the MAD?

Back

The MAD is 10.

Front

What does a low Mean Absolute Deviation indicate?

Back

A low MAD indicates that the data points are close to the mean, showing less variability.

Front

What does a high Mean Absolute Deviation indicate?

Back

A high MAD indicates that the data points are spread out over a wider range, showing more variability.

Front

Calculate the MAD for the data set: 1, 2, 3, 4, 5.

Back

The MAD is 1.2.

Front

What is the first step in finding the Mean Absolute Deviation?

Back

Calculate the mean of the data set.

Front

Find the mean of the following data set: 5, 10, 15, 20.

Back

The mean is 12.5.