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Last Updated Sep 26, 2025
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Box plots are a visual way of showing the distribution of data. They summarise a data set using five key values:
A box plot is drawn as follows:
Example: Consider the following data set:
The box plot for this data would have the box from to with a line at (the median), and whiskers extending from (minimum) to (maximum).
Cumulative frequency is used to find the number of observations below a particular value in a data set. It's especially useful for determining medians, quartiles, and percentiles.
To create a cumulative frequency table:
Example: For the following frequency table:
Data Value | Frequency |
---|---|
The cumulative frequency table would be:
Data Value | Frequency | Cumulative Frequency |
---|---|---|
Example: If the cumulative frequency curve reaches at the upper boundary of the "" range, this means that 10 data points are less than or equal to . You can use this graph to find the median (the value where cumulative frequency is half the total) or other percentiles.
You can use the cumulative frequency graph to determine key values like the median, Q1, and Q3, which you then use to construct a box plot. This makes these two tools very complementary for analysing data distributions.
The table shows the heights (in meters) of 80 giraffes.
Height, (m) | Frequency | Cumulative Frequency (C.F.) |
---|---|---|
4.6 ≤ < 4.8 | ||
4.8 ≤ < 5.0 | ||
5.0 ≤ < 5.2 | ||
5.2 ≤ < 5.4 | ||
5.4 ≤ < 5.6 | ||
5.6 ≤ < 5.8 |
a) Draw a cumulative frequency diagram.
b) Estimate the median height of the giraffes.
c) Estimate the lower quartile and the percentile.
d) Draw a box plot to represent this data.
Min = 4.6 (from the table)
LQ = 5.16
Median = 5.26
UQ = 5.38 (from the graph)
Max = 5.8 (from the table)
The box plot is drawn using these values.
e) Estimate the number of giraffes with heights below .
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