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
It does not display a directly display a median, mean, or range.
The advantage is that you will have the same number in each quartile. The disadvantage is that you will not be able to determine the median or mean.
Each has its advantages and disadvantages and the answer will depend on the nature of the data.
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