A histogram is a graphical representation of discrete or continuous data. The area of a bar in a histogram is equal to the frequency. The y-axis is plotted by frequency density (which is proportional to the frequency) and the x-axis is plotted with the range of values divided into intervals.
A histogram can only be used to plot numerical values and it is usually used for large data sets. It is useful for detecting outliers and/or gaps in the data set.
Construct a histogram of the following marks in a maths test where the maximum possible mark is 20. 2, 4, 14, 14, 16, 17, 13, 16, 7, 8, 9, 10, 11, 19, 18, 15, 15, 16, 13, 12, 7, 8, 9, 12, 11, 18.
Firstly order your data so it will make it easier to group.
2, 4, 7, 7, 8, 8, 9, 9, 10, 11, 11, 12, 12, 13, 13, 14, 14, 15, 15, 16, 16, 16, 17, 18, 18, 19.
Next, look at your data and find the minimum and maximum values and choose a sensible class width.
The minimum value is 2 and the maximum value is 19, a sensible class width would be anywhere between 3 and 5; for this example you might choose 4. Your class intervals will be 0−4, 5−8, 9−12, 13−16 and 17−20.
Now you need to collect your data into a frequency distribution table.
Test Score |
Frequency |
---|---|
0−4 |
2 |
5−8 |
4 |
9−12 |
7 |
13−16 |
9 |
17−20 |
4 |
This can now be plotted on a histogram.
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This is Khan Academy's video on creating a histogram.
This workbook produced by HELM is a good revision aid, containing key points for revision and many worked examples.