There are several disadvantages and advantages to a median. One advantage is that it avoids collisions of cars driving in opposite directions. One disadvantage is that drivers must make more U-turns in order to make left turns.
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When someone asks a for an "average" value, that can mean a couple of different things. "Mean," "median," and "mode" are all values that are used to relate what the "center" or "average" of a distribution of values is. Each one has their advantages and disadvantages. The median is the value that divides the distribution exactly into halves - 50% is below it, and 50% above it. The median may not actually occur in the distribution, but it is the "balance point" of the distribution. The main advantage of the median is that it is not affected by outliers as the mean is and the mode can be. In distributions with a clear skew, such as housing prices or wages, using the median provides a much better estimate of what the "average" is.
disadvantages *not to scale *there are limitations
no
disadvantages of histogram compared to barchart
everything