Venn Diagrams
SPEC 3.1, 3.2 • PROBABILITY
Set notation, addition rule, mutually exclusive and independent events
Set Notation
Master these symbols for Venn diagrams:
Universal set — all possible outcomes
Intersection — "A and B" (both occur)
Union — "A or B" (at least one)
Complement — "not A"
Key Point
"Or" in probability means "and/or" — includes the case where both events happen.
Two-Set Venn Diagrams
A two-set Venn diagram has 4 regions:
1. Only A (inside A, outside B)
2. Both A and B (the overlap)
3. Only B (inside B, outside A)
4. Neither (outside both circles)
Tip
All 4 regions sum to 1 (or total frequency). Use this to find missing values!
Important
Venn diagrams can show probabilities (summing to 1) or frequencies (summing to total).
The Addition Rule
Formula
Use this to find: The probability of "A or B" (at least one event occurring).
Why Subtract P(A ∩ B)?
When we add P(A) + P(B), the intersection gets counted twice — once in P(A) and once in P(B). We subtract P(A ∩ B) to correct this double-counting.
Rearrangements
To find the intersection:
To find the union:
01Worked Example
In a class of 30 students, 18 study French, 12 study German, and 5 study both. Find:
(a) P(French only) (b) P(at least one language) (c) P(neither)
Draw and fill from the intersection outwards:
•
Both (intersection) = 5
•
French only = 18 − 5 = 13
•
German only = 12 − 5 = 7
•
Neither = 30 − 13 − 5 − 7 = 5
Answers: (a) 13/30 (b) 25/30 = 5/6 (c) 5/30 = 1/6
Worked Example02
P(A) = 0.4, P(B) = 0.5, P(A ∪ B) = 0.7. Find P(A ∩ B).
Rearrange the addition rule:
1
2
Answer: P(A ∩ B) = 0.2
Mutually Exclusive Events
Definition
Events are mutually exclusive if they cannot both occur:
For mutually exclusive events:
Simplified Rule
(No overlap to subtract)
Examples:
Rolling 1 vs rolling 6 on one die
Drawing a heart vs drawing a club
Worked Example03
A bag has red, blue, and green counters. P(Red) = 0.35, P(Blue) = 0.4. The colours are mutually exclusive. Find P(Green).
Mutually exclusive and exhaustive → probabilities sum to 1:
1
P(R) + P(B) + P(G) = 1
2
0.35 + 0.4 + P(G) = 1
3
P(G) = 1 − 0.75 = 0.25
Answer: P(Green) = 0.25
Independent Events
Definition
Events are independent if one doesn't affect the other:
To test independence: Check if
Equal → independent
Not equal → not independent
Important
Independent ≠ Mutually Exclusive!
Mutually exclusive: (can't both happen)
Independent: (don't affect each other)
If P(A) > 0 and P(B) > 0, mutually exclusive events CANNOT be independent!
Worked Example04
P(A) = 0.6, P(B) = 0.5, P(A ∪ B) = 0.8. Are A and B independent?
First find P(A ∩ B) using the addition rule, then test for independence:
1
P(A ∩ B) = P(A) + P(B) − P(A ∪ B) = 0.6 + 0.5 − 0.8 = 0.3
2
Test: P(A) × P(B) = 0.6 × 0.5 = 0.3
3
P(A ∩ B) = 0.3 = P(A) × P(B) ✓
Answer: Yes, A and B are independent.
Three-Set Venn Diagrams
Three sets create 8 regions:
3 "only one set" regions
3 "exactly two sets" regions
1 "all three" region
1 "none" region
Strategy
Fill from centre outwards:
1. Centre (A∩B∩C) first
2. Two-set overlaps next
3. Single-set regions last
4. Outside (neither) to finish
Three-Set Regions Labelled
8 regions:
a = A ∩ B' ∩ C' (only A)
b = A ∩ B ∩ C' (A and B, not C)
c = A' ∩ B ∩ C' (only B)
d = A ∩ B' ∩ C (A and C, not B)
e = A ∩ B ∩ C (all three)
f = A' ∩ B ∩ C (B and C, not A)
g = A' ∩ B' ∩ C (only C)
h = (A ∪ B ∪ C)' (none)
Remember
All 8 regions sum to 1 (or total frequency). a + b + c + d + e + f + g + h = 1
Worked Example05
100 people surveyed: 50 like Football, 35 like Tennis, 30 like Cricket. 15 like F&T, 10 like F&C, 12 like T&C, 5 like all three. How many like none?
Fill from centre outwards:
1
Centre: 5 (all three)
2
F∩T only: 15−5=10, F∩C only: 10−5=5, T∩C only: 12−5=7
3
F only: 50−10−5−5=30, T only: 35−10−5−7=13, C only: 30−5−5−7=13
4
Total inside: 30+10+13+5+5+7+13=83
Answer: None = 100 − 83 = 17
Worked Example06
P(A) = 0.5, P(B) = 0.6, P(A ∩ B) = 0.2. Find P(A' ∩ B).
P(A' ∩ B) means "B but not A" — the B-only region:
1
P(B) = P(A ∩ B) + P(A' ∩ B)
2
P(A' ∩ B) = P(B) − P(A ∩ B)
3
P(A' ∩ B) = 0.6 − 0.2 = 0.4
Answer: P(A' ∩ B) = 0.4
Worked Example07
A and B are independent with P(A) = 0.3 and P(B) = 0.4. Find P(A ∪ B).
Use independence to find intersection, then addition rule:
1
Independent: P(A ∩ B) = P(A) × P(B) = 0.3 × 0.4 = 0.12
2
Addition rule: P(A ∪ B) = P(A) + P(B) − P(A ∩ B)
3
P(A ∪ B) = 0.3 + 0.4 − 0.12 = 0.58
Answer: P(A ∪ B) = 0.58
Set Algebra (No Diagrams)
For harder questions, use algebraic manipulation instead of Venn diagrams:
De Morgan's Laws
Key Result
"Neither A nor B" = complement of "A or B"
Strategy
Break complex expressions into known quantities using:
Complements: P(A') = 1 − P(A)
Partition: P(B) = P(A∩B) + P(A'∩B)
Addition rule variations
Worked Example08
P(A) = 0.4, P(B) = 0.5, P(A ∪ B) = 0.7. Find P(A' ∩ B').
Use De Morgan's Law — no Venn diagram needed:
1
Recognise: A' ∩ B' means "neither A nor B"
2
By De Morgan: A' ∩ B' = (A ∪ B)'
3
Therefore: P(A' ∩ B') = P((A ∪ B)') = 1 − P(A ∪ B)
4
P(A' ∩ B') = 1 − 0.7 = 0.3
Answer: P(A' ∩ B') = 0.3
Worked Example09
P(A) = 0.6, P(B) = 0.5, P(A ∩ B) = 0.2. Find P(A ∩ B') + P(A' ∩ B).
This is "exactly one of A or B" — use partition:
1
P(A ∩ B') = P(A) − P(A ∩ B) = 0.6 − 0.2 = 0.4
2
P(A' ∩ B) = P(B) − P(A ∩ B) = 0.5 − 0.2 = 0.3
3
P(A ∩ B') + P(A' ∩ B) = 0.4 + 0.3 = 0.7
Alternative: P(A ∪ B) − P(A ∩ B) = (0.6 + 0.5 − 0.2) − 0.2 = 0.7
Answer: P(exactly one) = 0.7
10
Worked Example
S and T are events with P(S) = 0.3, P(T) = 0.4, P(S but not T) = 0.18.
(a) Show that S and T are independent. (b) Find P(S ∩ T) and P(neither S nor T).
Key insight: P(S but not T) = P(S ∩ T') = P(S) − P(S ∩ T)
1
Find P(S ∩ T): 0.18 = 0.3 − P(S ∩ T) → P(S ∩ T) = 0.12
2
Test independence: P(S) × P(T) = 0.3 × 0.4 = 0.12 ✓
3
P(S ∩ T) = 0.12 = P(S) × P(T), so S and T are independent
4
P(S ∪ T) = 0.3 + 0.4 − 0.12 = 0.58
5
P(neither) = 1 − P(S ∪ T) = 1 − 0.58 = 0.42
Practice
Question 1: P(A) = 0.55, P(B) = 0.45, P(A ∩ B) = 0.15. Find P(A ∪ B) and determine whether A and B are independent.
Part 1: P(A ∪ B) = 0.55 + 0.45 − 0.15 = 0.85
Part 2: Test P(A) × P(B) = 0.55 × 0.45 = 0.2475
P(A ∩ B) = 0.15 ≠ 0.2475
Answer: P(A ∪ B) = 0.85. A and B are NOT independent.
Practice
Question 2: A and B are independent. P(A) = 0.7, P(A ∩ B) = 0.28. Find P(B).
For independent events: P(A ∩ B) = P(A) × P(B)
0.28 = 0.7 × P(B)
P(B) = 0.28 ÷ 0.7 = 0.4
Practice
Question 3: 80 students: 45 study Maths, 38 Physics, 20 Chemistry. 20 study M&P, 12 study M&C, 10 study P&C, 6 study all three. Find P(exactly one subject).
Fill from centre:
Centre: 6 | M∩P only: 14 | M∩C only: 6 | P∩C only: 4
M only: 45−14−6−6 = 19 | P only: 38−14−6−4 = 14 | C only: 20−6−6−4 = 4
Exactly one: 19 + 14 + 4 = 37
Answer: P(exactly one) = 37/80
Summary
Key Formulas
FormulaWhen to Use
Always valid for "A or B"
Mutually exclusive only
Independent events / testing
Complement
Exam Skills
Three-set problems: Fill from centre outwards
Test independence: Check if P(A∩B) = P(A) × P(B)
Mutually exclusive: P(A∩B) = 0 (no overlap)
All regions sum to 1 (or total frequency)
Next: Set Notation