Probability
We define theoretical and experimental probability, use Venn diagrams to represent events in a sample space, and apply the addition rule, mutual exclusivity, and the complement rule to solve problems.
9.1 Probability — Venn Diagrams & Rules
- Use probability models; compare relative frequency with theoretical probability
- Apply the addition rule: $P(A\cup B) = P(A) + P(B) - P(A\cap B)$
- Use Venn diagrams to solve probability problems
- Identify mutually exclusive events: $P(A\cap B)=0$; complementary events: $P(A)+P(A')=1$
Real-World Connection
Insurance companies calculate the probability that a car will be involved in an accident in a given year. They use massive historical data sets (experimental probability) and mathematical models to price your premium. When two risks overlap — like being in an accident AND filing a claim — they apply exactly the addition rule you learn here.
Definition
Theoretical Probability
The probability of an event is a number between 0 and 1 measuring how likely it is to occur. P(E) = 0 means impossible; P(E) = 1 means certain. Theoretical probability assumes equally likely outcomes.
Definition
Relative Frequency (Experimental Probability)
The relative frequency of an event is the proportion of trials in which it actually occurred. As the number of trials increases, the relative frequency gets closer to the theoretical probability.
Addition Rule
$P(A\cup B)$ = P(A or B); $P(A\cap B)$ = P(A and B) = overlap
Property / Rule
Mutually Exclusive Events
Events A and B are mutually exclusive if they cannot occur simultaneously: A∩B = ∅, so P(A∩B) = 0. The addition rule simplifies to P(A∪B) = P(A) + P(B).
Property / Rule
Complementary Events
The complement A' is the event that A does NOT occur. A and A' are mutually exclusive and exhaustive.
ℹ️ Note
Always start a Venn diagram problem by finding the intersection (overlap). Label: intersection only-A region, only-B region, neither region. Then read off any required probability.
Worked Example
Relative frequency vs theoretical probability
Problem
Worked Example
Venn diagram with addition rule
Problem
Worked Example
Mutually exclusive events
Problem
Worked Example
Find unknown probability from Venn diagram
Problem
CAPS Cognitive Level Distribution