The mean absolute deviation tells you how spread out or how clustered around the mean a set of data is. This is the variation in the data. To compare sets, a higher mean absolute deviation indicates that the data points are more spread out from the mean. A lower mean absolute deviation indicates dat

data points or values are nearer to the mean

Step-by-step 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