Respuesta :

irspow
Mean absolute deviation is the average of the sum of all deviations of the terms from the average of the terms...

mean=(5+9+9+11+16)/5=10

mad=[(10-5)+(10-9)+(10-9)+(11-10)+(16-10)]/5=2.8

Using it's concept, it is found that the mean absolute deviation (MAD) of the data set is of 2.8.

The mean absolute deviation of a data-set is the sum of the absolute value of the difference between each observation and the mean, divided by the number of observations.

In this problem, the mean is:

[tex]M = \frac{5 + 9 + 9 + 11 + 16}{5} = 10[/tex]

Hence, the mean absolute deviation is:

[tex]MAD = \frac{|(5 - 10)| + |(9 - 10)| + |(9 - 10)| + |(11 - 10)| + |(16 - 10)|}{5} = 2.8[/tex]

The mean absolute deviation (MAD) of the data set is of 2.8.

A similar problem is given at https://brainly.com/question/22355667