Think First

If you roll a die AND flip a coin at the same time, how many different results are possible? How would you list them all?

Sample Space

Every possible result of an experiment, listed with no gaps and no repeats.

Die \ Coin H T 1 (1, H) (1, T) 2 (2, H) (2, T) 3 (3, H) (3, T) 4 (4, H) (4, T) 5 (5, H) (5, T) 6 die faces × 2 coin sides = 12 outcomes Counting Principle m × n outcomes for two-stage experiments (row 6 follows same pattern)

What You'll Master

  • Define sample space and explain why it must be complete and systematic
  • List sample spaces for single and two-step experiments using arrays
  • Apply the counting principle ($m \times n$) to find the total number of outcomes
  • Calculate probabilities by counting favourable outcomes from a complete sample space

Words You Need

Sample spaceThe complete set of all possible outcomes of an experiment, written as $S$
OutcomeA single possible result of an experiment
EventOne or more outcomes that we are interested in
Compound eventAn event involving two or more separate experiments or stages
Systematic listingRecording outcomes in a fixed order so nothing is missed or doubled
ArrayA table/grid displaying all outcomes of a two-step experiment
Tree diagramA branching diagram that shows each stage of a compound experiment

⚠ Spot the Trap

Students often think $(1,2)$ and $(2,1)$ are the same outcome when rolling two dice. They are not — ordered pairs mean the first die shows 1 and second shows 2 in the first case, and vice versa. Always list outcomes as ordered pairs. There are always exactly $6 \times 6 = 36$ outcomes for two dice — not 21.

1. Sample Spaces for Single Events

The sample space $S$ lists every possible outcome. For equally likely outcomes:

$$P(\text{event}) = \frac{\text{number of favourable outcomes}}{\text{total outcomes in }S}$$
  • Rolling a die: $S = \{1,\,2,\,3,\,4,\,5,\,6\}$,   $|S| = 6$
  • Flipping a coin: $S = \{H,\,T\}$,   $|S| = 2$
  • Choosing a suit from a deck: $S = \{\text{hearts, diamonds, clubs, spades}\}$,   $|S| = 4$

Example: Rolling a die — $P(\text{even}) = \dfrac{3}{6} = \dfrac{1}{2}$ because the favourable outcomes are $\{2,\,4,\,6\}$.

2. Two-Step Experiments — Systematic Lists and Arrays

For compound experiments, list outcomes as ordered pairs. Work through one variable at a time.

Die and coin: Fix the die face, list both coin outcomes, then move to next die face:

$(1,H),\;(1,T),\;(2,H),\;(2,T),\;(3,H),\;(3,T),$
$(4,H),\;(4,T),\;(5,H),\;(5,T),\;(6,H),\;(6,T)$

Total: $6 \times 2 = 12$ outcomes.   $P(\text{odd and H}) = \dfrac{3}{12} = \dfrac{1}{4}$  (outcomes: $(1,H),(3,H),(5,H)$).

3. The Counting Principle

If experiment A has $m$ outcomes and B has $n$ outcomes, the combined experiment has $m \times n$ outcomes. This extends to any number of stages.

  • Two coins: $2 \times 2 = 4$  → $\{HH, HT, TH, TT\}$
  • Three coins: $2 \times 2 \times 2 = 8$  → $\{HHH, HHT, HTH, HTT, THH, THT, TTH, TTT\}$
  • Two dice: $6 \times 6 = 36$
  • 4-sector spinner + die: $4 \times 6 = 24$

Worked example — three coins:

$P(\text{all heads}) = \dfrac{1}{8}$   and   $P(\text{exactly two heads}) = \dfrac{3}{8}$  (HHT, HTH, THH).

4. Using a Sample Space to Calculate Probability — Two Dice

Rolling two dice: 36 ordered pairs. To find $P(\text{sum} > 8)$, list all pairs where $d_1 + d_2 > 8$:

$(3,6),\;(4,5),\;(4,6),\;(5,4),\;(5,5),\;(5,6),\;(6,3),\;(6,4),\;(6,5),\;(6,6)$

That is 10 favourable outcomes.

$$P(\text{sum} > 8) = \frac{10}{36} = \frac{5}{18}$$

Always verify: number of favourable outcomes $\leq 36$. ✓

Common Pitfalls

  • Stopping the list too early — always work systematically through every case
  • Treating $(1,2)$ and $(2,1)$ as identical — they are different ordered outcomes
  • Forgetting to include outcomes you are not interested in — the denominator uses all outcomes
  • Not simplifying the final fraction — always reduce $\frac{10}{36}$ to $\frac{5}{18}$

Copy This Into Your Book

Sample space ($S$): the complete set of all possible outcomes.

Counting principle: $|S| = m \times n$ for a two-stage experiment with $m$ and $n$ outcomes.

$$P(\text{event}) = \frac{\text{number of favourable outcomes}}{\text{total outcomes in }S}$$

For two dice: $|S| = 36$. List ordered pairs $(d_1, d_2)$ — order matters.

When rolling two standard dice, how many outcomes are in the sample space?

A coin is flipped and a 4-sector spinner is spun. How many outcomes are in the sample space?

Two fair coins are flipped. What is $P(HH)$?

Two dice are rolled. What is $P(\text{sum} = 7)$?

Which of the following is the correct sample space for rolling a single standard die?

Q6. A coin is flipped three times. (a) List the full sample space — all 8 outcomes. (b) Find $P(\text{exactly 2 heads})$.

Q7. A bag contains one Red (R), one Blue (B), and one Green (G) marble. A marble is drawn and a die is also rolled. (a) How many outcomes are in the sample space? (b) Find $P(\text{Red marble and even number})$.

Q8. Two dice are rolled. Find $P(\text{sum} \leq 4)$ by listing all outcomes where the sum is 4 or less. Show all working.

Show Answers

Q6

Sample space: $\{HHH,\,HHT,\,HTH,\,HTT,\,THH,\,THT,\,TTH,\,TTT\}$ — 8 outcomes.

Exactly 2 heads: $HHT,\,HTH,\,THH$ — 3 favourable outcomes.

$P(\text{exactly 2 heads}) = \dfrac{3}{8}$

Q7

Counting principle: $3 \times 6 = 18$ outcomes in sample space.

Favourable (Red AND even): $(R,2),\,(R,4),\,(R,6)$ — 3 outcomes.

$P(\text{R and even}) = \dfrac{3}{18} = \dfrac{1}{6}$

Q8

Outcomes with sum $\leq 4$: $(1,1),\,(1,2),\,(1,3),\,(2,1),\,(2,2),\,(3,1)$ — 6 favourable outcomes.

$P(\text{sum} \leq 4) = \dfrac{6}{36} = \dfrac{1}{6}$

Stretch Challenge

A spinner has the numbers 1, 2, 3 and another spinner has the letters A, B, C, D. One result from each spinner is chosen. (a) List all 12 outcomes in the sample space. (b) Find $P(\text{number is prime AND letter comes before C alphabetically})$. Show your working clearly.

Sample space = all possible outcomes, no gaps, no repeats
Counting principle: $m \times n$ outcomes for a two-stage experiment
Two dice always have $6 \times 6 = 36$ ordered outcomes
$(1,2)$ and $(2,1)$ are different ordered pairs — both count
$P(\text{event}) = \dfrac{\text{favourable}}{\text{total in }S}$
Three coins: $2^3 = 8$ outcomes

Badges This Lesson

Sample Space Superstar
Outcome Organiser
Systematic Lister
Grid Master
Compound Challenger
Probability Pioneer
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