Histograms
A histogram displays continuous grouped data, and its defining feature is that AREA represents frequency. With unequal class widths, the height is the frequency density — not the frequency itself.
What you'll be able to do
- Understand that area represents frequency
- Calculate frequency density
- Draw and interpret a histogram
- Find a frequency from a histogram
Frequency density
Because classes can have different widths, the height of each bar is the , not the frequency. This ensures the of each bar is proportional to its frequency.
Example 1A class of width 5 has frequency 20. Find the frequency density.
Area = frequency
The key principle: . To find a frequency from a histogram, multiply the bar’s frequency density by its width (its area). To compare areas you may need a scale factor if total frequency is given.
Tip — Histogram questions are really “area = frequency” questions — always work with areas, not bar heights.
Histogram vs bar chart
A histogram is for data with no gaps between bars, and uses frequency density. A bar chart is for data with gaps, where height is just frequency. Do not confuse them.
Formula recap
Common mistakes to avoid
Key takeaways
- Histograms show continuous data with area ∝ frequency.
- Height = frequency density = frequency ÷ class width.
- Frequency = frequency density × width (the bar’s area).
Test yourself
Answer a few questions, then review anything you missed.
Check your understanding
Work through questions on Histograms. Use the feedback to decide what needs another look.
2 past-paper questions · 3 marks
Related lessons
All 5 lessons- Same chapterOutliersIdentifying and handling outliers in data sets.
- Same chapterBox PlotsCreating and interpreting box plots and box-and-whisker diagrams.
- Same chapterCumulative FrequencyUnderstanding cumulative frequency tables and graphs.
Put the methods into practice: see how A-Level maths duels work. An account is required to play; the overview and sample are public.