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IGCSE · Cambridge (CIE) · 0444

Use frequency density for unequal-width histogram classes

Calculate class width and frequency density · Use bar area to represent frequency · Distinguish density peaks from the largest class count

Section E10.5 · Extended · Histograms with unequal class widths

Mathematics (US) 0444 · historical 2025 study · E10.5
Exam scope and assessment notes

Extended content; not a Core requirement. Historical study of Cambridge IGCSE Mathematics (US) 0444, 2025 Version 2. The final assessment was June 2025; the syllabus was available only to schools in Arizona, USA. This is not a current exam-entry option. Original self-check teaching and explained practice are not Cambridge papers, official marks or predicted grades. Linked teaching foundations do not establish full syllabus mastery. Calibrated cumulative assessment, reliable drawn-work review and qualified mathematics-teacher review remain unfinished.

Before you begin

  • Grouped continuous data
  • Area of a rectangle

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

What should you establish before applying the method in this lesson?

What you will learn

  • Calculate class width and frequency density
  • Use bar area to represent frequency
  • Distinguish density peaks from the largest class count
Unequal widths: compare areas0.00.20.40.60.8f=4f=8f=8010203040Frequency density (per min)Time (min)
Time-class widths are 10,10,20 minutes, with frequencies 4,8,8. Frequency densities are 0.4,0.8,0.4 observations per minute. Rectangle area in axis units gives frequency; the last two bars have equal areas, while the last is twice as wide and half as high. Continuous class bars meet at their common boundaries.

Area, not height, gives frequency

Frequency density=frequency/class width. The illustrative classes 0≤t<10, 10≤t<20, 20≤t<40 have frequencies 4,8,8, widths 10,10,20 and densities 0.4,0.8,0.4 observations per minute. On a frequency-density histogram, rectangle area in axis units is width×density=frequency.

Unequal widths require different heights

The final two classes each contain eight observations, so their bars have equal area. The last bar is twice as wide and half as high. Adjacent continuous classes meet at their boundary. The peak density is in 10≤t<20; tied raw frequencies do not imply tied densities when widths differ. Do not draw height equal to frequency while keeping unequal widths.

Sources for this lesson

Pause and explain

Must two unequal-width classes with equal frequencies have equal histogram heights?

Put the idea to work

Worked example

Find the density for eight observations in 20≤t<40.

Show the worked solution
  1. Class width=20 minutes.
  2. Density=8/20.

Answer 0.4 observations per minute.

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From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

For 0≤t<10, 10≤t<20, 20≤t<40 with frequencies 4,8,8, calculate all densities.

Give me a hint

Divide each frequency by its own width.

Compare my reasoning
  1. The widths are 10,10,20.
  2. Densities are 4/10,8/10,8/20.

0.4,0.8,0.4 observations per minute.

Look for these in your work

  • Use the actual widths
  • Label the density units
2 · Independent

Explain why the last two illustrated bars have equal area but different heights.

Give me a hint

Each represents eight observations.

Compare my reasoning
  1. The last width is double the previous width.
  2. Its density is half, preserving width×height=8.

Both areas represent frequency 8; width 20 needs density 0.4 versus width 10 and density 0.8.

Look for these in your work

  • Use area for frequency
  • Compare widths and densities together
3 · Transfer

Which illustrated class has the highest density? Does it have strictly more observations than the final class?

Give me a hint

Compare heights, then counts.

Compare my reasoning
  1. The peak density 0.8 is in 10≤t<20.
  2. Both that class and the final class have frequency 8.

10≤t<20 has highest density; its frequency is tied with the final class.

Look for these in your work

  • Separate density from count
  • Avoid a height-only count comparison

Common mistakes

  • Use class width, not upper boundary, as the divisor.
  • Height alone is not frequency on a density histogram.
Recall without your notes

What can you explain now?

Must two unequal-width classes with equal frequencies have equal histogram heights?

Compare with the explanation

No; equal frequencies require equal areas.

Density changes inversely with width for a fixed frequency.

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Make it stick

Must two unequal-width classes with equal frequencies have equal histogram heights?

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

Keep learning Mathematics (US)

Course scope and assessment

191 original lessons provide 573 guided, independent and application tasks. All 142 tier entries have linked teaching foundations: 55 Core and 87 Extended entries across 87 unique numbered sections in ten areas. Extended includes Core, so the tier-entry count is not a percentage of teaching time or student mastery. This is not full programme completion: qualified mathematics-teacher review, cumulative and exam-length assessment, and reliable drawn-work review remain unfinished. Historical study of Cambridge IGCSE Mathematics (US) 0444, 2025 Version 2. The final assessment was June 2025; the syllabus was available only to schools in Arizona, USA. This is not a current exam-entry option. Original self-check teaching and explained practice are not Cambridge papers, official marks or predicted grades. Linked teaching foundations do not establish full syllabus mastery. Calibrated cumulative assessment, reliable drawn-work review and qualified mathematics-teacher review remain unfinished.

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