How do we use a cumulative frequency curve to find the median, quartiles and spread?
Construct a cumulative frequency curve and use it to estimate the median, quartiles, interquartile range and percentiles
A focused answer to the O-Level E-Maths outcome on cumulative frequency. Building the cumulative frequency curve, reading the median and quartiles, the interquartile range, and estimating percentiles.
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What this dot point is asking
SEAB wants you to build a cumulative frequency curve from grouped data and read off the median, the lower and upper quartiles, the interquartile range, and percentiles. The curve turns grouped data into estimates of position and spread that a frequency table alone cannot give.
The answer
Cumulative frequency
Cumulative frequency is a running total of the frequencies, the number of values up to and including the upper boundary of each class. You build it by adding each class frequency to the sum of all the earlier ones, so the final cumulative frequency equals the total number of values.
The cumulative frequency curve
Plot the cumulative frequency against the upper class boundary and join the points with a smooth curve. The result is an S-shaped (ogive) curve that rises from zero to the total frequency, and reading across and down from it estimates positions in the data.
Median and quartiles
For values, read the curve at these cumulative frequency positions:
- median (middle) at ,
- lower quartile at ,
- upper quartile at .
Read across from the position on the vertical axis to the curve, then down to the value on the horizontal axis.
Interquartile range and percentiles
The interquartile range measures spread using the middle half of the data:
A percentile is the value below which a given percentage of the data lies; the th percentile is read at the cumulative frequency . The IQR is less affected by outliers than the full range.
Examples in context
Example 1. Comparing two classes. Drawing two cumulative frequency curves on the same axes lets a teacher compare the medians and interquartile ranges of two classes' marks. A curve further to the right with a smaller IQR shows higher and more consistent scores.
Example 2. Setting a pass mark. To pass the top of candidates, an examiner reads the th percentile off the curve, setting the boundary so that fall below it. Percentiles turn a target proportion into a cut-off value.
Try this
Q1. State the cumulative frequency position for the median of values. [1 mark]
- Cue. .
Q2. The lower quartile is and the upper quartile is . Find the interquartile range. [1 mark]
- Cue. .
Q3. For values, state the position used to read the upper quartile. [1 mark]
- Cue. .
Exam-style practice questions
Practice questions written in the style of SEAB exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
Original4 marksThe times taken by runners are recorded. From the cumulative frequency curve, the lower quartile is minutes, the median is minutes and the upper quartile is minutes. (a) Find the interquartile range. (b) Estimate how many runners took longer than minutes.Show worked answer →
(a) Interquartile range upper quartile lower quartile minutes.
(b) The upper quartile is at the position, so of runners took up to minutes, leaving above it.
of runners took longer than minutes.
Markers reward the interquartile range of minutes, recognising the upper quartile as the point, and the runners above it.
Original3 marksA cumulative frequency curve is drawn for the marks of candidates. Explain how you would use it to estimate the median mark.Show worked answer →
The median is the value at the middle of the data, the position.
For candidates, find the cumulative frequency of on the vertical axis.
Draw a horizontal line from across to the curve, then drop a vertical line down to the horizontal axis; the mark where it meets is the estimated median.
Markers reward locating on the cumulative frequency axis, reading across to the curve and down to the mark, giving the median.
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