Answer:
The Mean absolute deviation of any data set is best for explain how spread out the data values are compared to each other and the mean. This value is found be finding the difference of all data points to the mean of the data set, and then finding the average of those, by adding them all up and dividing by the total number of data points there are. If the mean absolute deviation is larger, then this means that there is more variability in the data set, and it is in fact very spread out. Finding the average of the distances of data points from the mean can be very helpful in determining conclusions about data sets.
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