Final answer:
The Mean Absolute Deviation (MAD) measures the spread or variability of a data set. A smaller MAD means less variability, while a larger MAD means more variability.
Step-by-step explanation:
The Mean Absolute Deviation (MAD) is a measure of the spread or variability of a data set. It represents the average distance between each data point and the mean of the data set. In this case, the MAD for the first data set is 6 and for the second data set is 20.
A smaller MAD indicates that the data points are closer to the mean and have less variability. Conversely, a larger MAD indicates that the data points are further away from the mean and have more variability. Therefore, the first data set has a narrower spread and less variability compared to the second data set.