C9.4 Statistical charts and diagrams
- Syllabus
- 0580–2028–2029
- Topic
- C9.4
- Level
- Core
A statistical display represents frequencies so that categories, proportions or the shape of individual data can be compared. A correct display preserves every frequency and uses a clear scale or key.
| Display | Construction rule | What to interpret |
|---|---|---|
| Bar chart | equal-width bars, consistent gaps and a labelled linear frequency scale | compare bar heights; in dual bars compare paired groups, and in composite bars compare both parts and totals |
| Pie chart | sector angle =totalfrequency×360∘ | compare proportions; convert an angle back with 360∘angle×total |
| Pictogram | use one stated key for every symbol, including fractional symbols | multiply symbols by the key before comparing frequencies |
| Stem-and-leaf | split each value into a stem and leaf, order every row and give a key | recover the original values and read their distribution |
| Frequency distribution | list each value or category once with its frequency | check the total frequency and identify common or rare values |
For bars, choose a linear scale that reaches the largest frequency, label both axes and plot each height accurately. A dual bar chart needs a key and the same scale for both groups. A composite bar's segment heights add to its total; read a segment from the difference between its two boundaries. Unequal widths or a non-linear unmarked scale are misleading.
For frequencies 9,14,7, the total is 30. The sector angles are 9÷30×360∘=108∘, 14÷30×360∘=168∘ and 7÷30×360∘=84∘. They sum to 360∘, which checks the chart.
For 13,15,21,21,28,31, use stems 1,2,3 and ordered leaves: 1∣3 5, 2∣1 1 8, 3∣1. The key 1∣3=13 fixes the place value. Every original value must appear exactly once.
Interpret only what the display supports: read the scale and key before calculating, and compare like with like. Bars show frequencies, pie sectors show proportions, and a stem-and-leaf diagram retains individual values. This objective uses simple frequency distributions; grouped-data estimates and scatter-diagram correlation belong elsewhere.