Question

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

Answer 1

Answer:

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.

Answer 2

Answer:

Sample Answer: 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.

Which did you include in your explanation? Check all that apply. Make sure you have all of them

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

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.