The MAD of set 2 is 13. 35 more than the MAD of set 1.
The average distance between each data point and the mean is the mean absolute deviation of a dataset.
The mean of the first data set is,
[tex]\rm Mean_1=\dfrac{16+ 15+ 10+ 12}{4} = 13.25[/tex]
Now, the mean absolute deviation of the first data set is,
[tex]\rm MAD_1=\dfrac{2.75+ 1.75+ 3.25+ 1.25}{4} = 2.25[/tex]
The mean of the second data set is,
[tex]\rm Mean_2=\dfrac{16+ 62+ 15+10+ 12}{5} = 23[/tex]
Now, the mean absolute deviation of the second data set is,
[tex]\rm MAD_2=\dfrac{7+39+8+13+11}{5} = 15.6[/tex]
Now, if we calculate the difference in the mean absolute deviation of the two sets, therefore, the difference in the MAD is,
[tex]\text{Difference in MAD}=MAD_2-MAD_1 = 15.6-2.25 = 13.35[/tex]
Hence, The MAD of set 2 is 13. 35 more than the MAD of set 1.
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