Cumulative Frequency and Boxplots
Cumulative Frequency and Boxplots
A cumulative frequency graph can be used to estimate the interquartile range.
A boxplot is a graph that shows the median, quartiles, highest/lowest values and outliers.
Make sure you are happy with the following topics before continuing.
Cumulative Frequency Graphs
Suppose we have a table showing classes and frequencies, such as for histograms. We can find the cumulative frequency by adding on a column in which we add up the frequencies as we go. To create a cumulative frequency graph, we plot these cumulative frequencies as values against the top of each class as values, then join the points up with straight lines.
To estimate the interquartile range from these graphs, we draw lines from the axis at and and find the corresponding values, which are our quartiles.
Boxplots
Boxplots are diagrams that look like this:
Example 1: Cumulative Frequency Graph
Draw a cumulative frequency graph from this data and estimate the interquartile range.
[4 marks]
Step 1: Add a high point column and cumulative frequency column to the table.
Step 2: Plot cumulative frequency against high point.
Step 3: Draw lines at cumulative frequencies of (first quartile) and (third quartile) and read off the values.
Step 4: The estimate for the interquartile range is
Example 2: Boxplots
Create a boxplot for the following data: where a point is considered to be an outlier if it is more than the interquartile range lower than the first quartile or higher than the third quartile.
[6 marks]
There are data points.
so the first quartile is the second data point, which is .
so the third quartile is the sixth data point, which is .
The interquartile range is therefore
So points less than or greater than are outliers. So there is one outlier in our data set, at the point
The lowest non-outlier value is , and the highest non-outlier value is
Finally, the median is .
Cumulative Frequency and Boxplots Example Questions
Question 1: Create a cumulative frequency graph from the following table:

[3 marks]
Add high point and cumulative frequency columns.

Plot high point against cumulative frequency.

Question 2: Make a boxplot from the following data:
[5 marks]
There are data points.
so the first quartile is the midpoint between the fifth and sixth point, which is
so the third quartile is the midpoint between the th and th point, which is
so the second quartile (median) is the midpoint between the th and th point, which is
The lowest and highest values are and .
This gives the following box plot:

Question 3: Create a box plot by estimating the quartiles from a cumulative frequency graph for the following data:

[8 marks]
Add high point and cumulative frequency onto the table.

Plot high point against cumulative frequency on the graph.

Use the graph to determine:
First quartile
Median
Third quartile
Create the box plot.

Specification Points Covered
L1 – Interpret diagrams for single-variable data, including understanding that area in a histogram represents frequency
L3 – Interpret measures of central tendency and variation, extending to standard deviation