Answer :-
Mean absolute deviation (MAD) is the average of absolute values of the forecast error. It can be replaced as :
MAD = Sum of absolute values of forecast errors / Number of periods.
MAD can also be described as the absolute error between actual and forecasted data. In the given question , forecasting errors for four periods are given as 10, -8, 1, -3.
We have to take the absolute values of the errors ignoring the (-) sign, so the errors will be 10,8,1,3.
Now,
MAD = 10 + 8 + 1 + 3/4
= 22/4
MAD = 5.5
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