Probability
We study theoretical and experimental probability, Venn diagrams, two-way tables, and tree diagrams for compound events. We compare relative frequency (experimental) with theoretical probability and apply addition rules.
8.1 Single Events and Probability Rules
- Define probability and the sample space
- Calculate theoretical probability using P(E) = n(E)/n(S)
- Apply the complement rule: P(not E) = 1 − P(E)
- Compare theoretical and experimental (relative frequency) probability
- Use Venn diagrams to solve probability problems involving overlapping events
Real-World Connection
Probability governs insurance premiums, weather forecasting, casino games, and medical diagnosis. A weather app says '70% chance of rain' — that's probability based on historical patterns. An insurance company calculates the probability you'll have an accident to set your premium. Every decision under uncertainty uses probability.
Definition
Sample Space (S)
The set of ALL possible outcomes of an experiment.
Theoretical Probability
n(E) = number of favourable outcomes; n(S) = total outcomes (all equally likely)
Complement Rule
The probability of an event NOT happening = 1 minus the probability it does happen
Property / Rule
Probability Scale
Probability is always between 0 and 1 inclusive. P = 0 means impossible; P = 1 means certain.
Definition
Relative Frequency
Experimental probability: frequency of an event divided by the number of trials. Approaches theoretical probability as trials increase.
Definition
Venn Diagram
A diagram using overlapping circles inside a rectangle to display events and their relationships. The rectangle represents the sample space S. The overlap (intersection) shows outcomes belonging to BOTH events. Regions outside all circles show outcomes in neither event.
Addition Rule for Probability
Subtract P(A∩B) once to avoid double-counting the overlap. If A and B are mutually exclusive, P(A∩B)=0 and the rule simplifies to P(A)+P(B).
Worked Example
Calculating probability
Problem
Worked Example
Comparing theoretical and experimental probability
Problem
Worked Example
Listing the sample space
Problem
CAPS Cognitive Level Distribution
8.2 Compound Events — Tables and Tree Diagrams
- Use two-way tables to determine probabilities of compound events
- Draw tree diagrams to list all possible outcomes
- Calculate probabilities of compound events using tree diagrams
Real-World Connection
Tree diagrams are used in decision analysis and genetics. A geneticist uses a Punnett square (a two-way table) to predict the probability that a child inherits a trait. A project manager uses a decision tree to map out possible outcomes and their probabilities when making business decisions. A sports analyst uses them to calculate match outcome probabilities.
Property / Rule
Probability Along a Path
For independent events, multiply probabilities along a branch of a tree diagram.
ℹ️ Note
The probabilities of ALL branches from any point must add up to 1. If one branch has probability 0.3 and another has 0.5, there must be a third branch with probability 0.2.
Worked Example
Tree diagram for two coin flips
Problem
Worked Example
Two-way table for compound events
Problem
Worked Example
Tree diagram with unequal probabilities
Problem
CAPS Cognitive Level Distribution