2.1. Histograms and Frequency Distributions http://www.ck12.org
Remembering what we did with a frequency polygon, we can remove the bins to create a new type of plot. In the
frequency polygon, we used the midpoint of the bin width. It is slightly different for a relative cumulative frequency
plot. This time we will plot the points on theright sideof each bin.
The reason for this should make a lot of sense: when we read this plot, each point should represent the percentage
of the total data that is less than or equal to that value, just like the frequency table. For example, the point that is
plotted at 4, corresponds to 15.6% because that is the percentage of the data that is greater than or equal to 3 and less
than 4. It does not include the 4′s because they are in the bin to the right of that point. This is why we plot a point
at 1 on the horizontal axis and and 0% on the vertical axis. None of the data is lower than 1, and similarlyallof the
data is below 9. Here is the final version of the plot.