How can you use the mean absolute deviation of two data sets to compare them?

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 data points are more clustered around the mean.

Step-by-step explanation:

The mean absolute value is a measure of variation and indicates the spread of the data.

you can first factor out the n to get n(1+5). we know that 1+5 is 6, so we just have 6n.