Respuesta :
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
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