Think First

Without looking at your notes — write down the formula for probability, one thing about Venn diagrams, and one thing about tree diagrams.

Probability — Complete Picture

All the tools we have built this unit, connected together.

PROBABILITY P = favourable / total Scale 0 to 1 0 = impossible Sample Space m × n outcomes Venn Diagrams A∪B, A∩B, neither Tree Diagrams multiply branches Experimental freq / trials → theoretical Complement P(A') = 1 - P(A)

What You'll Master

  • Recall and apply the core probability formula, scale, and complement rule
  • List sample spaces systematically and use the counting principle
  • Complete and use Venn diagrams including the addition rule
  • Draw tree diagrams and multiply along branches for compound events
  • Compare experimental and theoretical probability and apply the law of large numbers

Words You Need

ProbabilityA number between 0 and 1 measuring how likely an event is: $P = \frac{\text{favourable}}{\text{total}}$
Sample spaceThe complete set of all possible outcomes; size found using the counting principle $m \times n$
Complement$P(A') = 1 - P(A)$ — the probability that event A does NOT occur
Venn diagramOverlapping circles for A, B inside rectangle $\xi$; regions: A only, $A\cap B$, B only, neither
Tree diagramBranching diagram; write probability on each branch; multiply along a path
Experimental probability$P \approx \frac{\text{frequency}}{\text{trials}}$ — gets closer to theoretical as trials increase
Theoretical probabilityCalculated by counting equally likely outcomes — no experiment needed
FrequencyThe number of times an outcome actually occurs in a set of trials

⚠ Spot the Trap

Mixing up which tool to use: use a Venn diagram when you have overlapping groups/sets (e.g., students who play sport AND music). Use a tree diagram when you have sequential stages (e.g., draw a marble, then roll a die). Using the wrong tool will not give wrong answers — but the right tool makes the problem much easier.

1. Probability Basics — Quick Recap

The probability of an event for equally likely outcomes:

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

The scale: $0 \leq P \leq 1$.   Impossible $= 0$.   Certain $= 1$.   Even chance $= 0.5$.

Complement rule: $P(A') = 1 - P(A)$.

Example: A bag has 4 red, 3 blue, 2 green marbles (9 total). $P(\text{red}) = \frac{4}{9}$. $P(\text{not red}) = 1 - \frac{4}{9} = \frac{5}{9}$.

2. Sample Space and Counting Principle — Recap

For compound experiments, use the counting principle: $|S| = m \times n$.

Example: A coin is tossed and a 3-sector spinner (1, 2, 3) is spun. $|S| = 2 \times 3 = 6$.

Systematic list: $(H,1),\,(H,2),\,(H,3),\,(T,1),\,(T,2),\,(T,3)$.

$P(\text{Head and odd number}) = \dfrac{2}{6} = \dfrac{1}{3}$   (outcomes: $(H,1)$ and $(H,3)$).

3. Venn Diagrams — Recap

Key steps: always start with $n(A \cap B)$, then compute A only, B only, neither.

Worked example: $n(\xi) = 50$, $n(A) = 28$, $n(B) = 22$, $n(A \cap B) = 10$.

  • A only $= 28 - 10 = 18$
  • B only $= 22 - 10 = 12$
  • Neither $= 50 - 18 - 10 - 12 = 10$

$P(\text{neither}) = \dfrac{10}{50} = \dfrac{1}{5}$.   Addition rule check: $\dfrac{28}{50} + \dfrac{22}{50} - \dfrac{10}{50} = \dfrac{40}{50} = \dfrac{4}{5} = P(A \cup B)$ ✓

4. Tree Diagrams — Recap

Key rule: write probabilities on branches; multiply along a path; add paths for "or".

Worked example: Two spinners each numbered 1–3. Find $P(\text{product} > 4)$.

All pairs $(s_1, s_2)$: total $3 \times 3 = 9$ outcomes.

Products: $(1,1)=1,\,(1,2)=2,\,(1,3)=3,\,(2,1)=2,\,(2,2)=4,\,(2,3)=6,\,(3,1)=3,\,(3,2)=6,\,(3,3)=9$.

Products $> 4$: $(2,3),\,(3,2),\,(3,3)$ — 3 outcomes.

$$P(\text{product} > 4) = \frac{3}{9} = \frac{1}{3}$$

5. Experimental vs Theoretical — Recap

Theoretical: count equally likely outcomes. No data needed.

Experimental: $P \approx \dfrac{\text{frequency}}{\text{total trials}}$. Based on real results.

Law of large numbers: more trials $\Rightarrow$ experimental probability closer to theoretical.

Expected frequency: $\text{expected} = P \times n$ (number of trials).

Example: Fair die rolled 300 times. Expected number of sixes $= \frac{1}{6} \times 300 = 50$. An experimental result of 48 is entirely consistent with a fair die.

Common Pitfalls

  • Forgetting that probabilities must be between 0 and 1 — if your answer is greater than 1, recheck
  • In Venn diagrams: placing $n(A)$ in the circle instead of "A only" — always subtract the intersection first
  • In tree diagrams: adding branch probabilities instead of multiplying along a path
  • Concluding bias from a small sample — only large numbers of trials are reliable
  • Not simplifying fractions — always reduce your final probability

Copy This Into Your Book

Master formula set for Unit 4 Probability:

  • $P(\text{event}) = \dfrac{\text{favourable}}{\text{total in }S}$   and   $P(A') = 1 - P(A)$
  • Counting principle: $|S| = m \times n$
  • Addition rule: $P(A \cup B) = P(A) + P(B) - P(A \cap B)$
  • Tree diagram: multiply along a path; all endpoints sum to 1
  • Experimental: $P \approx \dfrac{\text{frequency}}{\text{trials}}$; more trials $\to$ closer to theoretical

A Venn diagram has $n(\xi)=50$, $n(A)=28$, $n(B)=22$, $n(A \cap B)=10$. What is $P(\text{A only})$?

Two spinners each numbered 1–3 are spun. What is $P(\text{product} > 4)$?

A spinner is spun 80 times. Outcome A appears 24 times. What is the experimental probability of outcome A?

A fair die is rolled. What is $P(\text{not rolling a 6})$?

A spinner has the letters A, B, C, D, E and a die numbered 1–4 is rolled. How many outcomes does the combined sample space have?

Q6. In a group of 50 people, 28 like tea (T), 22 like coffee (C), and 10 like both. (a) Draw and complete a Venn diagram. (b) Find $n(\text{neither})$. (c) Find $P(\text{neither T nor C})$.

Q7. Two spinners are each numbered 1, 2, 3. They are both spun. (a) How many outcomes in the sample space? (b) Find $P(\text{product} > 4)$ by listing all favourable outcomes. Show all working.

Q8. A bag has 5 red (R), 3 blue (B), and 2 green (G) marbles. Two marbles are drawn with replacement. (a) Using a tree diagram, find $P(\text{both same colour})$. Show all branch probabilities and calculations.

Show Answers

Q6

T only $= 28 - 10 = 18$.   C only $= 22 - 10 = 12$.   Both $= 10$.

$n(\text{neither}) = 50 - 18 - 10 - 12 = 10$

$P(\text{neither}) = \dfrac{10}{50} = \dfrac{1}{5}$

Q7

Sample space: $3 \times 3 = 9$ outcomes.

All products: $(1,1)=1,\,(1,2)=2,\,(1,3)=3,\,(2,1)=2,\,(2,2)=4,\,(2,3)=6,\,(3,1)=3,\,(3,2)=6,\,(3,3)=9$.

Products $> 4$: $(2,3),\,(3,2),\,(3,3)$ — 3 outcomes.

$P(\text{product} > 4) = \dfrac{3}{9} = \dfrac{1}{3}$

Q8

With replacement: $P(R) = \frac{5}{10} = \frac{1}{2}$,  $P(B) = \frac{3}{10}$,  $P(G) = \frac{2}{10} = \frac{1}{5}$ at every draw.

$P(RR) = \dfrac{1}{2} \times \dfrac{1}{2} = \dfrac{1}{4}$

$P(BB) = \dfrac{3}{10} \times \dfrac{3}{10} = \dfrac{9}{100}$

$P(GG) = \dfrac{1}{5} \times \dfrac{1}{5} = \dfrac{1}{25} = \dfrac{4}{100}$

$P(\text{same colour}) = \dfrac{25}{100} + \dfrac{9}{100} + \dfrac{4}{100} = \dfrac{38}{100} = \dfrac{19}{50}$

Stretch Challenge

Design your own probability problem that uses either a Venn diagram or a tree diagram to solve it. Your answer must involve a probability between 0.2 and 0.4. Write the full problem, draw the diagram, and show the complete solution including a check that your final probability is in the required range.

$P = \dfrac{\text{favourable}}{\text{total in }S}$; scale: $0 \leq P \leq 1$
$P(A') = 1 - P(A)$ — complement shortcut
Counting principle: $|S| = m \times n$ for compound experiments
Venn: start from intersection, work outward; sum all regions = $n(\xi)$
Tree: multiply along a path; endpoints sum to 1
Experimental: more trials $\to$ closer to theoretical

Badges This Lesson

Review Royalty
Probability Master
Venn Virtuoso
Tree Titan
Stats Champion
Data & Probability Expert
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