This example may be considered if your understand, because I do not have an engineering back-ground to understand the problem fully. You shall go through the below paragraph.
Assuming the data is discrete.
A manager in a T-shirt show room will be interested only in knowing which size of T-Shirt is moving fastly. Is it Small (S), Medium (M), Large (L), XL or XXL. Based on this he will be placing the next order. There is no use, in summing or finding the average t-shirts sold. This is not going to help him in procuring new orders. Here fastly moving t-shirts represents the mode.
Whereas in a Continuous Data, the probability of obtaining a repeated value is very low. if your data is not normally distributed, mean will not be meaningful, instead Median can be considered. Here they have gone for Mode, because it is frequently repeated, actually they are supposed to represent only Median, because the concept behind the Median cannot be explained to non-quality professionals, they have gone for mode. Or they might have drawn a histogram, mode would have appeared there.
Therefore, if the data is continuous mode rarely appears, check this first.
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