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PROBABILITY Β· LESSON 02

Sample Spaces and Single Events

List all outcomes and calculate theoretical probabilities correctly.

⏱️ 25–37 min πŸ“˜ Foundation 🎲 Visual models included

🎯 Learning Objectives

Introduction

This lesson develops Sample Spaces and Single Events from meaning and patterns before moving to calculations. Look for what the quantities, shapes or symbols represent, then connect that idea to the method.

Key Notes

Read the definitions and key facts below carefully. Each rule is most useful when you can explain why it fits the situation, not simply recall it.

Theoretical Probability

P(event)=number of favourable equally likely outcomes Γ· total number of equally likely outcomes.

Worked Examples

Fair die sample space S={1,2,3,4,5,6}.

Event A: number greater than 4 = {5,6}.

P(A)=2/6=1/3.

A bag contains 3 red and 5 blue identical counters.

P(red)=3/(3+5)=3/8.

Systematic Listing

Write outcomes in an organised order so none are omitted or repeated.

Practice Questions

  1. Find P(odd) on a fair die.
  2. A letter is selected from MATHS. Find P(A).
  3. A spinner has equal sectors R,R,B,G. Find P(R).
  4. Why can favourable/total be used only when outcomes are equally likely?

βœ… Check Your Work

Show answers and working
  1. Odd outcomes={1,3,5}; P=3/6=1/2.
  2. There are 5 letters and one A, so P(A)=1/5.
  3. Two of four sectors are red, so P(R)=2/4=1/2.
  4. Counting outcomes treats each outcome as having the same probability; this gives a wrong answer when chances differ.

πŸ§ͺ Math Lab: Build a Sample Space

Choose an experiment and reveal every possible outcome.

Common Mistakes

Exam Focus

Show the mathematical relationship you are using, keep notation consistent and give a clear final answer. Use a quick estimate, diagram or inverse operation to check that the result is reasonable.

Summary