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Cambridge IGCSE Mathematics revision notes

Cumulative frequency diagrams Revision Notes

Cambridge IGCSE revision notes for Cumulative frequency diagrams.

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Cumulative frequency diagrams

CambridgeIGCSEMathematicsExtended Statistics

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Cumulative Frequency Diagrams: Construction and Interpretation

This note explains how to create cumulative frequency tables and diagrams, plot points accurately, and use these diagrams to estimate and interpret key statistical measures such as the median, quartiles, percentiles, and interquartile range. It includes step-by-step guidance, worked examples, and exam-focused advice to develop strong skills in handling cumulative frequency data.

Syllabus source

Section 3, Topic E9.6, page 56, objective E9.6.1

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What you should be able to do

  • ✓Understand how to construct a cumulative frequency table from grouped data.
  • ✓Plot cumulative frequency points correctly using upper class boundaries and mark them clearly.
  • ✓Draw a smooth cumulative frequency curve connecting plotted points.
  • ✓Use the cumulative frequency diagram to estimate the median, quartiles, and percentiles.
  • ✓Calculate and interpret the interquartile range from the diagram.
1

Constructing a Cumulative Frequency Table

Start with a frequency distribution table that groups data into class intervals with their corresponding frequencies.

Calculate the cumulative frequency for each class by adding the frequency of the current class to the total frequencies of all previous classes.

The cumulative frequency for the last class equals the total number of data points, which is essential for later calculations.

  • Example: For class intervals 0–10, 10–20, 20–30 with frequencies 5, 8, 7, cumulative frequencies are 5, 13 (5+8), and 20 (13+7).
2

Plotting the Cumulative Frequency Diagram

Use the cumulative frequency table to plot points on a graph with the upper class boundaries on the horizontal axis and cumulative frequencies on the vertical axis.

Mark each point clearly with a small cross (×) to ensure accuracy and visibility.

Connect the points smoothly with a curve rather than straight lines to reflect the continuous nature of the data distribution.

  • Example: For the class 10–20, plot a point at x=20 (upper boundary) and y=13 (cumulative frequency).
3

Estimating the Median from the Diagram

The median corresponds to the value at which half the data lies below it.

Find half the total frequency on the vertical axis and draw a horizontal line from this point to meet the cumulative frequency curve.

From the intersection, draw a vertical line down to the horizontal axis to read the median value approximately.

  • If total frequency is 40, half is 20. Locate 20 on the vertical axis, find the curve intersection, then read the median on the horizontal axis.
4

Determining Quartiles and Percentiles

Quartiles divide data into four equal parts; the first quartile (Q1) is at 25% of total frequency, and the third quartile (Q3) at 75%.

Percentiles divide data into 100 equal parts; for example, the 90th percentile is at 90% of total frequency.

Use the same method as for the median: locate the cumulative frequency corresponding to the desired percentile or quartile, draw horizontal and vertical lines to estimate the value on the horizontal axis.

  • For total frequency 40, Q1 is at 10, Q3 at 30 on the vertical axis.
  • To find the 90th percentile, locate 36 (0.9 × 40) on the vertical axis.
5

Calculating and Interpreting the Interquartile Range

The interquartile range (IQR) measures the spread of the middle 50% of data and is calculated as IQR = Q3 − Q1.

Use the cumulative frequency diagram to estimate Q1 and Q3 as described, then subtract to find the IQR.

A smaller IQR indicates data is more concentrated around the median, while a larger IQR shows greater spread.

  • If Q1 ≈ 15 and Q3 ≈ 25, then IQR = 25 − 15 = 10.

At-a-glance summary

Comparison table

StepDetailExampleExam Use
Construct cumulative frequency tableAdd frequencies cumulatively from grouped dataFrequencies 5, 8, 7 become cumulative 5, 13, 20Show clear cumulative totals for plotting points
Plot pointsUse upper class boundaries on x-axis and cumulative frequencies on y-axisPlot (20,13) for class 10–20 with cumulative frequency 13Mark points with crosses (×) for clarity
Draw curveConnect points smoothly, not with straight linesSmooth curve through plotted pointsDemonstrates understanding of continuous data representation
Estimate medianFind half total frequency on y-axis, draw horizontal then vertical linesHalf of 40 is 20; locate 20 on y-axis to find medianAccurate reading earns marks
Find quartiles/percentilesLocate 25%, 75%, or other percentiles on y-axis and project to x-axisQ1 at 10, Q3 at 30 for total 40Use correct cumulative frequency values for precision
Calculate IQRSubtract Q1 from Q3 values obtained from diagramIQR = 25 − 15 = 10Show calculation clearly for full marks

Active recall

Quick check

1. How do you find the cumulative frequency for the third class interval?

Add the frequency of the third class interval to the cumulative frequency of the second class interval.

2. Where do you plot points on a cumulative frequency diagram?

At the upper class boundary on the horizontal axis and the corresponding cumulative frequency on the vertical axis.

3. How is the median estimated from a cumulative frequency diagram?

Locate half the total frequency on the vertical axis, draw a horizontal line to the curve, then drop a vertical line to the horizontal axis to read the median.

4. What does the interquartile range represent?

The spread of the middle 50% of the data, calculated as the difference between the third quartile and the first quartile.

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