Answer:
data points or values are nearer to the mean
Explanation:
Given that mean absolute deviation tells you how to spread out or how clustered around the mean a set of data is.
Hence, in a comparison of sets, a higher mean absolute deviation indicates that the data points are more spread out from the mean.
On the other hand, a lower mean absolute deviation indicates that the data points are nearer to the mean than a data set with a higher mean absolute deviation