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When comparing large data sets.
It shows the amount of the surveyed matter or other sets of data. They are good comparing sets of the data that just have an amount.
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
When you are talking about data that is not continous. When you are talking about data that is not continous.
Suppose you plotted the same pairs of variables from two data sets on the same scattter plot, perhaps representing the two data sets in distinct colours. Then if the data sets differed sufficiently in standard deviation you would notice greater scatter or spread in one of them.