EST. 2024 · LONDON·MMXXVI SPECIFICATION
AQA·Edexcel·OCR|Foundation + Higher
Statistics & ProbabilityHigher onlyTopic 115 of 245

Drawing & Reading Histograms –

GCSEMathsAI Team·7 min read·23 May 2026

Histograms are a Higher-tier topic that consistently appears on AQA, Edexcel and OCR papers. The key difference between a histogram and a bar chart is that a histogram uses frequency density on the vertical axis, and the area of each bar — not its height — represents the frequency. This guide focuses on the practical skills of drawing histograms from tables and reading values from given histograms.

What Is a Histogram?

A histogram displays the distribution of continuous grouped data. Unlike a bar chart, the bars have no gaps and can have unequal widths. The vertical axis shows frequency density rather than frequency, which ensures a fair comparison between classes of different widths.

The area of each bar equals the frequency for that class interval. This means a wide bar does not appear misleadingly large just because it covers a broader range — its height is adjusted downward by dividing by the class width.

To draw a histogram, you calculate the frequency density for each class. To read a histogram, you reverse the process: read the frequency density from the height and multiply by the class width to recover the frequency.

Key Formulas

Frequency density = Frequency ÷ Class width
Frequency = Frequency density × Class width

Step-by-Step Method

  1. Calculate the class width for each interval (upper boundary minus lower boundary).
  2. Calculate the frequency density for each class: frequency ÷ class width.
  3. Draw the horizontal axis with a continuous scale showing class boundaries (no category labels).
  4. Draw each bar from the lower to the upper boundary with height equal to the frequency density.
  5. Label the vertical axis "Frequency density" — never "Frequency".

Worked Example 1 — Foundation Level

Question: The table shows the ages of 80 members of a gym. Draw a histogram.

Age (years) 15-24 25-34 35-44 45-64
Frequency 20 24 16 20

Working: Class widths: 10, 10, 10, 20. Frequency densities: 20÷10=2.0, 24÷10=2.4, 16÷10=1.6, 20÷20=1.0. Draw the horizontal axis from 15 to 65. Draw bars at heights 2.0, 2.4, 1.6, and 1.0 with no gaps.

Answer: The histogram has four bars with frequency densities 2.0, 2.4, 1.6, and 1.0 respectively.

Worked Example 2 — Higher Level

Question: A histogram shows journey times. The bar for 10 ≤ t < 25 has a frequency density of 3.2 and the bar for 25 ≤ t < 30 has a frequency density of 5.0. Find the frequency for each class and the total number of journeys in these two classes.

Working: Class 10 ≤ t < 25: width = 15. Frequency = 3.2 × 15 = 48. Class 25 ≤ t < 30: width = 5. Frequency = 5.0 × 5 = 25. Total = 48 + 25 = 73 journeys.

Answer: 48 journeys in the first class, 25 in the second, 73 total.

Worked Example 3 — Exam Style

Question: From the histogram in Worked Example 2, estimate how many journeys took between 10 and 15 minutes.

Working: The range 10 ≤ t < 15 covers 5 minutes of the class 10 ≤ t < 25 (total width 15). Frequency for full class = 48. Assuming even distribution: estimated frequency = 48 × (5/15) = 48 × 1/3 = 16.

Answer: An estimated 16 journeys took between 10 and 15 minutes.

Common Mistakes

  • Plotting frequency instead of frequency density. If class widths are unequal, this distorts the diagram. Always calculate frequency density first.
  • Leaving gaps between bars. Histograms represent continuous data, so bars must touch with no gaps.
  • Misreading the axis when recovering frequency. To find frequency from a histogram, multiply the height (frequency density) by the class width — do not just read the height as the frequency.

Exam Tips

  • Always show the frequency density calculations in a table alongside your diagram. Examiners award marks for this working.
  • Use a ruler and sharp pencil for accurate bars. Check that the boundaries align exactly with the scale.
  • When estimating a frequency within part of a class, assume the data is evenly distributed and use the proportion of the class width.

Practice Questions

Q1 (Foundation): Calculate the frequency densities for these reaction times.

Time (s) 0 ≤ t < 0.2 0.2 ≤ t < 0.4 0.4 ≤ t < 0.8 0.8 ≤ t < 1.0
Frequency 6 14 12 8
Answer: Widths: 0.2, 0.2, 0.4, 0.2. Frequency densities: 6÷0.2=30, 14÷0.2=70, 12÷0.4=30, 8÷0.2=40.

Q2 (Foundation): A histogram bar covers the interval 50 ≤ x < 80 and has a frequency density of 1.5. Find the frequency.

Answer: Width = 30. Frequency = 1.5 × 30 = 45.

Q3 (Higher): A histogram bar covers 20 ≤ w < 35 with a frequency density of 4. Estimate how many data values fall between 20 and 25.

Answer: Frequency for full class = 4 × 15 = 60. Proportion = 5/15 = 1/3. Estimated frequency = 60 × 1/3 = 20.

Practise histogram questions with instant feedback — completely free on GCSEMathsAI.

Summary

  • Frequency density = Frequency ÷ Class width. The area of each bar represents the frequency.
  • To draw a histogram, calculate frequency densities and plot bars with no gaps on a continuous scale.
  • To read a histogram, multiply frequency density by class width to recover the frequency.
  • To estimate within part of a class, assume even distribution and use the proportional width.
  • Always label the vertical axis "Frequency density" and show your calculation table.

Test your understanding

5 quick MCQs to identify any misconceptions on this topic.

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§Academic References

Further reading from leading academic institutions — free and open-access.

N
Data HandlingNRICH

Cambridge data interpretation and representation tasks.

University of Cambridge · Free · Open Access
C
StatisticsCorbett Maths

Histograms, cumulative frequency, box plots, scatter graphs.

Corbett Maths · Free · Open Access
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