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.

Q9. A Year 8 class collected data on 60 students: 35 own a bike, 40 own a skateboard, and 22 own both. (a) Draw a Venn diagram for this data. (b) A different class instead recorded their results as a two-stage process: first they asked whether each student owns a bike, then whether that same student also owns a skateboard. Which representation, a Venn diagram or a tree diagram, better matches this second class's step-by-step recording method, and why? (c) Using your Venn diagram from part (a), find $P(\text{owns exactly one of the two items})$.

Q10. For each scenario, name the best technique, a tree diagram, a Venn diagram, a two-way table, or simple counting, and justify your choice in one sentence. (a) A card is drawn from a deck, replaced, then a second card is drawn, you want $P(\text{two hearts})$. (b) In a survey, some students play both rugby and soccer, some play only one, and some play neither. (c) A cafe has 3 types of bread and 4 types of filling, you want the number of possible sandwich combinations.

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.

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

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

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

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

Q9

(a) Bike only $= 35 - 22 = 13$.   Skateboard only $= 40 - 22 = 18$.   Both $= 22$.   Neither $= 60 - 13 - 22 - 18 = 7$.

(b) A tree diagram better matches the second class's method, because their data was collected as an ordered, sequential process (bike question first, then a follow-up skateboard question for that same student), which is exactly what tree diagram branches represent. A Venn diagram instead represents overlapping groups collected all at once, which suits the first class's data.

(c) $P(\text{exactly one}) = \dfrac{13 + 18}{60} = \dfrac{31}{60}$

Q10

(a) Tree diagram, because the two draws happen in sequence (one after the other) and each draw's probability is written on a branch, then multiplied along the path.

(b) Venn diagram, because the data describes overlapping groups (both, only one, neither) rather than a sequence of stages.

(c) Simple counting (the counting principle), because you are combining two independent choices made at the same time, so $|S| = 3 \times 4 = 12$, no branches or overlapping sets are needed.

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

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