Using it's concept, it is found that the Mean Absolute Deviation for this set of data is of 0.8.
What is the mean absolute deviation of a data-set?
- 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. Hence, it is the sum of deviations divided by the number of observations.
- The mean absolute deviation represents the average by which the values differ from the mean.
In this problem, there are 10 observations, and the sum of the deviations is of 1 + 3 + 1 + 1 + 1 + 1 = 8. Hence the MAD is given as follows:
MAD = 8/10 = 0.8.
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