Probability is a number between 0 and 1 that says how likely something is. Calculate it by counting outcomes: favourable ÷ total. This guide walks the KS3 probability syllabus with worked examples and the two error patterns that confuse most Year 8 students.
The probability scale
Probabilities live between 0 and 1:
0 ─────────────── 0.5 ─────────────── 1
impossible even chance certain
0= won't happen (a regular six-sided die rolling a 7)0.5= 50/50 (a fair coin showing heads)1= will definitely happen (rolling a number between 1 and 6 on a six-sided die)
Can be written as fractions (1/2), decimals (0.5), or percentages (50%). All three mean the same thing.
The core formula
P(event) = number of favourable outcomes ÷ total number of outcomes
This assumes all outcomes are equally likely (a fair coin, a fair die, a well-shuffled deck).
Worked example 1: Fair coin
Probability of heads:
- Favourable outcomes: heads (1)
- Total outcomes: heads, tails (2)
P(heads) = 1/2 = 0.5 = 50%
Worked example 2: Six-sided die
Probability of rolling a 3:
- Favourable: 3 (just one)
- Total: 1, 2, 3, 4, 5, 6 (six outcomes)
P(3) = 1/6
Probability of rolling an even number:
- Favourable: 2, 4, 6 (three outcomes)
- Total: 6 outcomes
P(even) = 3/6 = 1/2
Worked example 3: Card deck
A standard pack has 52 cards: 4 suits × 13 ranks.
Probability of drawing a king:
- Favourable: 4 kings
- Total: 52
P(king) = 4/52 = 1/13
Probability of drawing a heart:
- Favourable: 13 hearts
- Total: 52
P(heart) = 13/52 = 1/4
Sample space diagrams
A sample space is the complete list of outcomes. For tossing two coins:
Coin 2 = H Coin 2 = T
Coin 1 = H HH HT
Coin 1 = T TH TT
Four equally likely outcomes. Probability of exactly one head: 2/4 = 1/2 (HT or TH).
The "and" rule (independent events)
Two events are independent if one doesn't affect the other (two coin tosses, two die rolls).
P(A and B) = P(A) × P(B)
Example: roll a die twice. Probability of two sixes?
- P(six on first) = 1/6
- P(six on second) = 1/6
- P(both) = 1/6 × 1/6 = 1/36
The "or" rule (mutually exclusive events)
Two events are mutually exclusive if they can't both happen (rolling a 3 OR a 5 — same die roll can't be both).
P(A or B) = P(A) + P(B)
Example: rolling a 3 or a 5 on one die:
- P(3) = 1/6, P(5) = 1/6
- P(3 or 5) = 1/6 + 1/6 = 2/6 = 1/3
The complement (the "not" trick)
P(not A) = 1 − P(A)
Example: probability of NOT rolling a six:
- P(six) = 1/6
- P(not six) = 1 − 1/6 = 5/6
Useful when calculating "at least one" or "none" — often faster than enumerating outcomes.
The two confusing errors
Error 1: Adding probabilities of independent events
❌ "Two coins both heads = 1/2 + 1/2 = 1"
That can't be right — 1 means certain, but two coins both heads is far from certain.
✅ Independent events → multiply. 1/2 × 1/2 = 1/4.
The "or" rule adds; the "and" rule multiplies. Different keywords.
Error 2: Forgetting equally likely
The formula assumes equal outcomes. For a weighted die (cheating), the formula breaks. KS3 questions almost always specify "fair" — but watch for trick questions where outcomes aren't equally likely.
Practice problems
- P(heads on a fair coin) =
1/2 - P(rolling a prime number on a 6-sided die — 2, 3, 5) =
3/6 = 1/2 - P(drawing a red card from a deck) =
26/52 = 1/2 - P(two heads in two coin flips) =
1/2 × 1/2 = 1/4 - P(NOT rolling a 1 on a die) =
1 − 1/6 = 5/6 - P(rolling a 2 or 4 on one die) =
1/6 + 1/6 = 1/3
How Professor Pi teaches this
For "Probability of rolling a 3 on a 6-sided die":
- L1: "How many outcomes does a die have?"
- L2: "6 outcomes. How many of them are 'rolling a 3'?"
- L3: "Just one. So what's the probability?"
- L4: worked twin for "P(rolling a 5) = 1/6", then you do P(3).
FAQ
How do I calculate probability in KS3?
Number of favourable outcomes ÷ total outcomes. For a fair coin landing heads: 1 ÷ 2 = 1/2 = 50%.
What's the probability scale in maths?
0 to 1. 0 impossible, 1 certain, 0.5 even chance. Can be fractions, decimals, or percentages.
What's a sample space?
The complete list of all possible outcomes. For a six-sided die: {1, 2, 3, 4, 5, 6}.
Related reading
Pedagogy from Professor Pi at aitutors.me. Updated 20 May 2026.