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AQA GCSE Maths

Revision Notes
(Histograms)

Understanding Histograms

Understanding Histograms

 

How Do I Interpret a Histogram?

Histograms show grouped continuous data. Unlike a bar chart, the area of each bar represents the frequency — not just the height.

Frequency=Frequency Density×Class Width\text{Frequency} = \text{Frequency Density} \times \text{Class Width}

Watch Out:

  • The y-axis might be labelled frequency density or simply frequency — check carefully!
  • If all class widths are the same, height might be proportional to frequency.

 

Steps for Interpreting a Histogram

1. Work Out Missing Frequencies

Use:

Frequency=Density×Class Width\text{Frequency} = \text{Density} \times \text{Class Width}

2. Estimate Frequencies From Parts of a Bar

Sometimes you’ll be asked for frequency between two points within a class interval.

Treat this like a proportion of the whole bar’s area.

3. Compare Distributions

You can compare shapes, centers, and spreads of two histograms, but only if:

  • They use the same class intervals.
  • They use the same frequency density scale.

 

Example

The histogram shows the time (in minutes) taken by runners to complete a trail race.

 

diagram of frequency density for example question

 

You’re given part of the frequency table:

 

Time (mins)Frequency
30t<4030 \leq t \lt 406
40t<5040 \leq t \lt 5012
50t<5550 \leq t \lt 5510
55t<6055 \leq t \lt 6015
60t<9060 \leq t \lt 90?

 

(a) Use the Histogram to Find the Missing Frequency

The bar for 60t<9060 \leq t \lt 90:

  • Frequency density = 0.4
  • Class width = 90 - 60 = 30

Frequency=0.4×30=12\text{Frequency} = 0.4 \times 30 = 12

So, the missing frequency is 12

 

(b) Use the Table to Complete the Histogram

The bar for 30t<4030 \leq t \lt 40 is missing:

  • Frequency = 6
  • Class width = 10

Frequency Density=610=0.6\text{Frequency Density} = \frac{6}{10} = 0.6

Draw a bar from 30 to 40 with a height of 0.6

 

histogram is missing bar added in

 

 
(c) Estimate the Number of Runners Who Took More Than 58 Minutes

You're looking at:

  • Part of the 55t<6055 \leq t \lt 60 bar: only 2 minutes (from 58 to 60)
  • Plus all of 60t<9060 \leq t \lt 90

Bar for 55 ≤ t < 60:

  • Frequency density = 3
  • Width from 58 to 60 = 2

Frequency=3×2=6\text{Frequency} = 3 \times 2 = 6

From part (a), we know there are 12 runners in the 60–90 interval.

6+12=186 + 12 = 18

Estimated number of runners who took more than 58 minutes is 18

 

diagram of histogram with area shaded above 58 mins

 

 

If the histogram looks odd (e.g. a tall narrow bar next to a short wide bar), check frequency densities carefully

Always show your area = frequency working — it’s an easy method mark

Use histograms to compare how spread out or bunched up your data is

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