Using it's concept, it is found that:
The mean of a data-set is given by the sum of all observations divided by the number of observations.
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.
The mean absolute deviation represents the average by which the values differ from the mean.
In this problem, the data-set is: {101, 115, 124, 125, 173, 165, 170}.
Hence, the mean is:
[tex]M = \frac{101 + 115 + 124 + 125 + 173 + 165 + 170}{7} = 139[/tex]
Then, the mean absolute deviation is:
[tex]M_d = \frac{|101-139| + |115-139| + |124-139| + |125-139| + |173-139| + |165-139| + |170-139|}{7} = 26[/tex]
Hence:
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