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How do you display continuous data with unequal class widths?

Histograms with equal and unequal class widths, frequency density, frequency polygons and population pyramids.

A focused answer to AQA GCSE Statistics on histograms, covering equal and unequal class widths, frequency density, reading frequencies as areas, frequency polygons and population pyramids.

Generated by Claude Opus 4.89 min answer

Reviewed by: AI editorial process; not yet individually human-reviewed

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  1. What this dot point is asking
  2. Histograms and frequency density
  3. Frequency polygons
  4. Population pyramids

What this dot point is asking

AQA wants you to draw and interpret histograms for continuous data with equal and unequal class widths, calculate and use frequency density, read frequencies as areas, and use frequency polygons and population pyramids. The single most-tested idea here is that on a histogram area, not height, represents frequency.

Histograms and frequency density

The reason for frequency density is fairness. If you plotted raw frequency as the bar height, a wide class would look taller simply because it covers more of the axis, exaggerating it. Dividing by the class width turns frequency into a density (frequency per unit), so a wide, sparsely populated class and a narrow, busy class are shown on the same footing. With equal class widths the heights are already comparable, so a plain frequency axis is fine; frequency density is essential only when widths differ.

Frequency polygons

A frequency polygon is drawn by plotting the frequency (or frequency density) against the midpoint of each class and joining the points with straight lines. Because it is just a line, two frequency polygons can be drawn on the same axes to compare the shapes of two distributions directly, which is harder to do with overlapping histograms.

Population pyramids

Reading a population pyramid is about shape: comparing the widths of bars at different ages tells you about birth rates, life expectancy and the balance between the sexes, which is why they are used to compare countries or to track one country over time.

A frequent higher-tariff histogram question gives a part-complete histogram and a part-complete frequency table and asks you to fill in both. The method is to use frequency == frequency density ×\times class width wherever you can read a bar, and frequency density == frequency ÷\div class width wherever the table gives a frequency, working back and forth until everything is filled. Another common task is to find the number of values in a part of a class, which you do by taking the matching fraction of that bar's area, assuming the values are spread evenly across the class. Keeping the "area equals frequency" rule at the front of your mind turns all of these into a single idea applied repeatedly.

Exam-style practice questions

Practice questions written in the style of AQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

AQA 20205 marksA grouped table of times (minutes) has classes 0t<100\le t<10 (frequency 2020), 10t<2510\le t<25 (frequency 4545) and 25t<3025\le t<30 (frequency 1515). (a) Calculate the frequency density for each class. (b) Explain how the frequency for the middle class is shown on the histogram.
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(a) Widths are 1010, 1515, 55. Frequency densities: 2010=2\frac{20}{10} = 2; 4515=3\frac{45}{15} = 3; 155=3\frac{15}{5} = 3.

(b) The frequency of the middle class is the area of its bar: frequency density 33 times class width 1515 gives 3×15=453 \times 15 = 45, which is the frequency.

Markers reward all three frequency densities and the key idea that frequency equals area (frequency density times width), not the bar height.

AQA 20223 marksA histogram has a bar over the class 40x<6040\le x<60 with frequency density 1.51.5, and another over 60x<7060\le x<70 with frequency density 44. Calculate the total frequency represented by these two classes.
Show worked answer →

First class: width 2020, frequency =1.5×20=30= 1.5 \times 20 = 30.

Second class: width 1010, frequency =4×10=40= 4 \times 10 = 40.

Total =30+40=70= 30 + 40 = 70.

Markers reward frequency == frequency density ×\times width for each bar, then adding to give 7070.

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