Cumulative Frequency and Boxplots

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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.

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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 yy values against the top of each class as xx values, then join the points up with straight lines.

To estimate the interquartile range from these graphs, we draw lines from the yy axis at n4dfrac{n}{4} and 3n4dfrac{3n}{4} and find the corresponding xx values, which are our quartiles.

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Boxplots

Boxplots are diagrams that look like this:

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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 2525 (first quartile) and 7575 (third quartile) and read off the xx values.

Step 4: The estimate for the interquartile range is 26.510=16.526.5-10=16.5

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Example 2: Boxplots

Create a boxplot for the following data: 1,9,11,12,15,16,181,9,11,12,15,16,18 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 77 data points.

74=1.75dfrac{7}{4}=1.75 so the first quartile is the second data point, which is 99.

3×74=5.25dfrac{3times 7}{4}=5.25 so the third quartile is the sixth data point, which is 1616.

The interquartile range is therefore 169=716-9=7

So points less than 97=29-7=2 or greater than 16+7=2316+7=23 are outliers. So there is one outlier in our data set, at the point 11

The lowest non-outlier value is 99, and the highest non-outlier value is 1818

Finally, the median is 1212.

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Cumulative Frequency and Boxplots Example Questions

Question 1: Create a cumulative frequency graph from the following table:

[3 marks]

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Add high point and cumulative frequency columns.

 

 

Plot high point against cumulative frequency.

 

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Question 2: Make a boxplot from the following data:

 

5,11,17,21,22,24,28,31,32,3640,41,44,45,46,48,51,54,58,685,11,17,21,22,24,28,31,32,3640,41,44,45,46,48,51,54,58,68

 

[5 marks]

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There are 2020 data points.

 

204=5dfrac{20}{4}=5 so the first quartile is the midpoint between the fifth and sixth point, which is 22+242=23dfrac{22+24}{2}=23

 

3×204=15dfrac{3times 20}{4}=15 so the third quartile is the midpoint between the 1515th and 1616th point, which is 46+482=47dfrac{46+48}{2}=47

 

202=10dfrac{20}{2}=10 so the second quartile (median) is the midpoint between the 1010th and 1111th point, which is 36+402=38dfrac{36+40}{2}=38

 

The lowest and highest values are 55 and 6868.

 

This gives the following box plot:

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

 

[8 marks]

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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 =1.3=1.3

Median =2.6=2.6

Third quartile =3.3=3.3

 

Create the box plot.

 

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Additional Resources

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Exam Tips Cheat Sheet

A Level
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Formula Booklet

A Level

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

Related Topics

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Outliers and Interquartile Range

A Level