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GCSE Maths Venn Diagrams & Set Notation Notes

A Venn diagram shows how sets overlap. Set notation describes the regions, and you can read probabilities straight off the diagram.

Key concepts

Intersection (A ∩ B)
The overlap — items that are in both sets.
Union (A ∪ B)
Everything in A or B or both — all shaded regions of the two sets.
Complement (A′)
Everything not in set A.
Universal set (ξ)
All the items being considered — the box around the whole diagram.

Key formulas

Probability from a Venn diagram

P(event) = items in region ÷ total items

Worked example

In a class of 30, 18 study French, 12 study German and 5 study both. How many study neither?

  1. 1Both = 5, so French only = 18 − 5 = 13 and German only = 12 − 5 = 7.
  2. 2Add the three regions: 13 + 7 + 5 = 25 study at least one language.
  3. 3Neither = 30 − 25 = 5.

Answer: 5 students

Common mistakes

✗ Double-counting the overlap.

✓ Fill in the intersection first, then subtract it from each set total.

✗ Confusing ∪ (union) with ∩ (intersection).

✓ ∩ is 'and' (the overlap); ∪ is 'or' (everything in either set).

✗ Forgetting the 'neither' region outside the circles.

✓ The regions must add up to the total in the universal set.

Quick check

Try these, then reveal the answers.

What does A ∩ B mean?Reveal answer

The items in both A and B.

What does A′ mean?Reveal answer

Everything not in A.

If 3 of 20 are in the overlap, P(both)?Reveal answer

3/20

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Exam tips

  • Always fill in the intersection region first, then work outwards.
  • Check every region adds up to the total before finding probabilities.
  • Learn the symbols: ∩ intersection, ∪ union, ′ complement, ξ universal set.

Related practice

Related topics

Key terms explained

Short, exam-ready definitions with a formula, a worked example and an examiner tip.

Frequently asked questions

What is the difference between union and intersection?+

Intersection (∩) is what is common to both sets; union (∪) is everything in either set.

How do I find a probability from a Venn diagram?+

Divide the number of items in the relevant region by the total number of items.

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