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

Question

2 years ago

5

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

Mathematics

2 answers:

jonny [76] · Answer 1 · 2022-10-16T13:28:39+03:00

jonny [76]2 years ago

6 0

Answer:

hes right ↑

Step-by-step explanation:

tamaranim1 [39] · Answer 2 · 2022-10-16T11:36:24+03:00

Answer:

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