Math // Probability
Equally Likely Outcomes
Understand that 'equally likely' means every outcome has exactly the same chance of occurring; identify whether a given situation has equally likely outcomes (a fair coin, a fair die, a spinner with equal sections) or unequally likely outcomes (a bag with more of one colour, a spinner with unequal sections)
Quick check
Can the learner tell the difference between a fair situation — like rolling a normal die where every number has the same chance — and an unfair one, like a bag with many more of one colour than another?
Ask this to see whether the topic is secure.
Topic // Mastery
What mastery looks like
- Explain that a fair coin has equally likely outcomes because heads and tails each have the same chance
- Identify whether a spinner with unequal sections has equally likely outcomes or not, and explain why
- Give an example of a situation with equally likely outcomes and one without, explaining the difference
Topic // Map
Where this fits
- RequiredMust come first
- HelpfulHelps, but not essential
Before this
1 topic- Ordering LikelihoodsRequired
Probability // Ages 9 to 10
Understanding what 'equally likely' means is a specific case of comparing likelihoods that requires the general comparison skill first
You are here
Equally Likely Outcomes
Ages 9 to 10 // Concept
Leads to
2 topics- Probability as a FractionRequired
Probability // Ages 9 to 10
Using fractions to represent probability only makes sense for equally-likely outcomes, so the equally-likely concept must come first
- Calculating Simple ProbabilityRequired
Probability // Ages 10 to 11
The probability formula only applies to situations with equally likely outcomes — this concept must be secure first
Topic // Research-informed
Teaching notes
From the Marble Skill Taxonomy. These notes have not been validated in classrooms, so treat them as a starting point for your own judgement.
The approach
Children learn that 'equally likely' means every outcome has exactly the same chance, decided by the SIZE/number of each outcome region rather than by how many different outcomes there are. They distinguish fair devices (balanced coin, balanced die, equal-section spinner) from unfair ones (bags with more of one colour, uneven spinners), confront the 'two outcomes means 50-50' trap, and separate 'equally likely' from 'random'.
Common misconceptions
- Assuming that because there are two (or three) possible outcomes, they must be equally likely — counting the number of outcome types rather than their sizes
- Equiprobability bias — believing any chance situation gives all outcomes an equal chance because the result is 'random/luck'
- Judging a die or coin's fairness by how it is thrown or how well it is made, rather than by its identical faces (Watson & Moritz)
- Confusing 'fair' as equal-chance with 'fair' as 'I have a good chance of winning'
Useful representations
- Spinners: equal sections vs unequal sections (area = chance)
- Fair coin and balanced die (identical, interchangeable faces)
- Bags with equal vs unequal numbers of each colour
- Area/region model in which equal chance corresponds to equal area
Teaching practices
- Contrast a spinner with equal sections against one with the same colours but unequal sections, so children see that equal chance depends on section size, not on how many colours there are
- Use identical-face devices (coin, balanced die) to define equal likelihood by symmetry — the faces are interchangeable
- Directly challenge 'two outcomes means 50-50' with a 1-red / 5-blue cube: two outcomes, but chances of 1/6 and 5/6
- Distinguish 'equally likely' from 'random': an uneven spinner is still random, but its outcomes are not equally likely — sample repeatedly to show the unequal long-run pattern
- Have children both identify and CREATE fair and unfair devices, explaining what makes each fair or not
Activities to try
- 1
Build a fair three-colour spinner and test it by sampling
Why it works: Equal chance depends on each outcome region being the same size (or the same number of equal ways), not on how many different outcomes there are; sampling many times reveals equal-area regions producing roughly equal frequencies and unequal regions producing a lopsided tally.
- Try to divide a spinner into three colours (red, blue, green) so that each colour is equally likely to be landed on.
- Spin the spinner many times (e.g. 100 times) and keep a tally of how often each colour comes up.
- If one colour comes up clearly more often over many spins, examine the spinner: is one wedge bigger than the others? (Small differences in the tally can happen by chance even on a fair spinner.) Adjust the boundaries until the three wedges are the same size, checking the sizes directly, then spin and tally again.
- State in your own words what makes the three colours equally likely — the equal AREA of each section, not the fact that there are three colours.
- Then build the opposite: a cube with 1 red face and 5 blue faces (six equal faces), or a spinner split into six equal sections with 1 red and 5 blue; predict and then tally the long-run result.
- 2
Sort and decide: fair or not fair?
Why it works: Deciding fair vs not-fair is a categorisation grounded in comparing the size or number of each outcome; the sharpest traps are the three-colour uneven spinner ('three colours so equal') and the two-outcome cube ('two outcomes so 50-50').
- Look at a set of chance devices — spinners with equal and unequal sections, a balanced coin, a balanced die, bags with equal and unequal numbers of each colour.
- Sort each device into 'equally likely outcomes' or 'not equally likely'.
- For a spinner that has three colours but with red filling half and blue and green each a quarter, decide whether the three colours are equally likely and explain why or why not.
- For each device, give the reason that decided your answer — equal section size or equal counts, not the number of different colours.
- Answer the trap question: 'A cube has one red face and five blue faces — there are two colours, so does that make red and blue equally likely?' Explain why not.
- 3
Argue down the carnival host (equally likely vs random)
Why it works: Children can separate two ideas: an outcome being random (unpredictable on a single spin) versus outcomes being equally likely (same chance each). An uneven spinner is random but not equally likely.
- Listen to a carnival host who insists a spinner with a big red section is 'totally fair — three colours, three chances'.
- Explain to the host why having three colours does not make the colours equally likely.
- Point out that red's section is bigger than the others, so red is more likely.
- Address the host's fallback claim that 'it's random, so you can't say one colour is more likely' — explain that the spin is random but the colours are still NOT equally likely because the sections differ in size.
- Say what the host would have to change to make the spinner genuinely fair (three equal-sized sections).
Math // Probability
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