How do tree diagrams and two-way tables find probabilities for multi-stage events?
Use arrays and tree diagrams to determine the outcomes and probabilities for multi-stage experiments, including two-way tables, multiplying probabilities along the branches of a tree diagram and adding the probabilities of mutually exclusive outcomes, with and without replacement
A focused answer to the HSC Maths Standard 2 dot point on multi-stage events. Two-way tables, tree diagrams for two- and three-stage experiments, the difference between drawing with and without replacement, multiplying probabilities along the branches and adding across mutually exclusive paths, with worked coin, counter and survey examples.
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What this dot point is asking
NESA wants you to find probabilities for multi-stage events: experiments made of two or three steps, like tossing a coin twice or drawing two counters from a bag. You need two tools. A two-way table (an array) organises data that has been classified two ways at once, so you can read off probabilities by counting cells. A tree diagram lays out every path through a multi-stage experiment, and you find a path's probability by multiplying along its branches, then add the probabilities of separate paths that all satisfy what you want. The single decision that earns or loses the most marks is whether the experiment is with replacement (the pool is put back, so probabilities stay the same) or without replacement (an item is kept, so the denominator shrinks for the next stage).
The answer
There are two situations and one tool for each. When the data is already counted and sorted into categories, use a two-way table and read probabilities straight from the cells and margins. When an experiment happens in stages, draw a tree diagram, multiply along each path, and add the paths you want. The whole topic rests on two operations: multiply along a branch (the stages of one outcome happening together) and add across branches (separate outcomes, any of which would do).
Two-way tables (arrays)
A two-way table sorts each item by two categories at once. The rows are one category, the columns another, and each inner cell counts the items that fall into both. The right-hand Total column and the bottom Total row are the marginal totals, and the bottom-right corner is the grand total - the size of the whole sample space.
To find a probability, count the favourable items and divide by the relevant total:
- A single category (just rows, or just columns): use the marginal total. reads straight off the female row total over the grand total.
- "... and ..." (both categories at once): use the single inner cell where the row meets the column. is one cell over the grand total.
- The complement of a category: subtract from , or read the rest of the margin. , which is also the no-glasses column total.
- "at least one" across a small experiment: it is almost always fastest as rather than adding every favourable case.
Tree diagrams for multi-stage events
A tree diagram draws one branch for each outcome at every stage. Stage 1 splits from a single starting node; each of those nodes splits again for stage 2; and so on. A two-stage coin gives end-paths, a three-stage coin gives . Two rules turn the picture into a number:
- Multiply along a branch (AND). A complete path is "this and then that", so multiply the branch probabilities from the start to the end of the path. For two heads, .
- Add across mutually exclusive paths (OR). If several different paths each satisfy what you want, and no outcome can be two of them at once, add their probabilities. For "exactly one head", .
A reliable check: the probabilities at every split add to , and so do all the complete path probabilities. In the tree above the four paths give .
With replacement versus without replacement
This is the decision that separates a Band 4 from a Band 6. It changes the second-stage probabilities.
- With replacement. The item is returned, so the pool is exactly the same for the next draw. The stages are independent and every stage uses the same probabilities. Drawing from red and blue, on every draw.
- Without replacement. The item is kept, so there is one fewer item in the pool and the denominator shrinks by (and the count of the colour you drew shrinks too). Drawing red and blue, the first draw is out of , but the second draw is out of . After a red is drawn, only red remain, so the second red branch is .
The single most common lost mark in this topic is leaving the second denominator unchanged in a without-replacement problem.
How exam questions ask about multi-stage events
The wording tells you which tool and which operation to use:
- "By drawing a tree diagram, find ..." asks for the tree explicitly: draw it, label every branch with its probability, then multiply along and add across.
- "... with replacement" keeps the denominators the same at every stage; "without replacement", "does not replace" or "keeps the first" drops the denominator by for the next stage.
- "... and ..." means one path or one cell: multiply along the branch, or read the single inner cell of a table.
- "... or ..." (for outcomes that cannot both happen, such as separate tree paths) means add those mutually exclusive probabilities, .
- "at least one ..." is almost always fastest as rather than adding many paths.
- "Complete the two-way table" means fill missing cells using the rule that each row and each column adds to its marginal total.
Exam-style practice questions
Practice questions written in the style of NESA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
2022 HSC-style3 marksA box contains white and black marbles. Two marbles are drawn at random without replacement. By drawing a tree diagram, or otherwise, find the probability that the two marbles are different colours.Show worked answer →
Set up the without-replacement branches: first draw , ; second-draw denominators drop to .
"Different colours" is white then black OR black then white: and .
Add the two mutually exclusive paths: .
Markers award one mark for a correct tree with changed second-draw denominators, one for the two path products, and one for adding the mutually exclusive paths to reach . A common error is keeping the denominator at (treating it as with replacement).
2024 HSC-style4 marksA jar contains green and yellow lollies. Two lollies are taken at random, one after the other, without replacement. By drawing a tree diagram, or otherwise, find (a) the probability both lollies are green, and (b) the probability the two lollies are different colours.Show worked answer →
Set up the without-replacement branches. First draw: , . Once one lolly is removed, remain, so the second-draw denominators drop to .
Part (a): both green is the single path . Multiply along it: .
Part (b): "different colours" is green then yellow OR yellow then green, two mutually exclusive paths. and . Add them: .
Markers award a mark for a correct tree with the second-draw denominators reduced to , a mark for , a mark for the two product paths in part (b), and a mark for adding the mutually exclusive paths to reach . The classic error is leaving the second denominator at (treating it as with replacement).
2025 HSC-style3 marksA cafe surveyed customers, recording their drink and cup size.
| | Regular | Large | Total |
|---|---|---|---|
| Coffee | | | |
| Tea | | | |
| Total | | | |
One customer is chosen at random. Find (a) , (b) , and (c) .Show worked answer →
Part (a): coffee is a single category, so use the coffee row marginal total of out of : .
Part (b): "tea and large" is the single inner cell where the tea row meets the large column, out of : .
Part (c): regular is a single category, so use the regular column marginal total of out of : .
Markers award a mark for each correct probability: parts (a) and (c) need a marginal total over the grand total , and part (b) needs the single overlap cell, not a row or column total. The denominator is the grand total throughout.
2023 HSC-style3 marksA traffic light shows green for of the time and red for of the time (ignore amber). On two consecutive mornings a commuter notes the light's colour. Assuming the mornings are independent, find the probability that the light is red on at least one of the two mornings.Show worked answer →
Recognise this as a with-replacement (independent) two-stage event: each morning , .
Use the complement: "at least one red" is the opposite of "no red", i.e. green on both mornings. .
So .
Markers reward identifying the complement (or adding ), the correct branch products, and the final . The efficient solution is the complement; the long way must list all three mutually exclusive paths.
Practice questions
Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.
foundation2 marksA fair coin is tossed twice. (a) List the sample space. (b) Find the probability of getting two heads.Show worked solution →
Part (a) - list every outcome of the two-stage experiment. Each toss is a head () or a tail (), and the first toss pairs with each second toss:
so there are equally likely outcomes.
Part (b) - find . Multiply along the two branches that give a head each time. Each toss has , so
so the probability of two heads is . (Check: the four outcomes are equally likely, and only one of them is , so agrees.)
foundation2 marksA bag holds red and blue counters. One counter is drawn, its colour noted, then it is returned to the bag and a second counter is drawn. Find the probability that both counters are red.Show worked solution →
Recognise this is with replacement. The first counter goes back, so the bag is unchanged for the second draw and the two draws are independent. Each draw has .
Multiply along the two red branches.
so the probability that both are red is . (Check: , a sensible chance since red is the more common colour.)
foundation2 marksThe two-way table shows students by gender and whether they wear glasses. Find (a) and (b) .
| | Wears glasses | No glasses | Total |
|---|---|---|---|
| Male | | | |
| Female | | | |
| Total | | | |Show worked solution →
Read the totals from the margins of the table. The "Total" row and column already count the categories for you.
Part (a) - . The glasses column totals out of :
Part (b) - . The female row totals out of :
so and . (Check: the table total is , which matches the denominator used each time.)
core3 marksA bag holds red and blue counters. Two counters are drawn one after the other WITHOUT replacement. Find the probability that both counters are red.Show worked solution →
Recognise this is without replacement. The first counter is kept, so the bag has only counters for the second draw and the second probability changes.
First draw. There are red out of :
Second draw, after a red is removed. One red has gone, leaving red out of the remaining counters, so the second red branch is:
Multiply along the branch.
so the probability that both are red is . (Check: , lower than the with-replacement answer of , which makes sense - removing a red leaves fewer reds for the second draw.)
core4 marksA bag holds red and blue counters. Two counters are drawn WITHOUT replacement. Find the probability of drawing (a) one counter of each colour, and (b) at least one red.Show worked solution →
Set up the four paths. Drawing without replacement, the second denominator drops to . After the first counter is removed, counters remain, split as whatever the first draw left behind. The four outcomes and their probabilities are
For the second factor is the red left among ; for a red has gone, so the bag is red and blue and the blue branch is (the blue among ). They give the same number here, but for different reasons. These four add to , a good check.
Part (a) - one of each colour. "One of each" means red then blue OR blue then red, two mutually exclusive paths, so add them:
Part (b) - at least one red. The complement of "at least one red" is "no red", which is :
so and . (Check via the long way: , which agrees.)
exam5 marksA spinner is split into equal green sectors and red sector, so and . It is spun three times. (a) Draw or describe the tree and find the probability of three greens. (b) Find the probability of exactly two greens. (c) Find the probability of at least one red.Show worked solution →
Set up the three-stage experiment. Each spin is green () with probability or red () with probability . A three-stage tree has paths, and you multiply the three branch probabilities along each path.
Part (a) - three greens. Multiply three green branches:
Part (b) - exactly two greens. Exactly two greens means one red, and the red can fall on spin , or : the paths , , . Each has the same probability:
There are such mutually exclusive paths, so add them:
Part (c) - at least one red. The complement is "no red", which is from part (a):
so , and . (Check: , a believable chance of seeing red at least once in three spins.)
exam5 marksThe two-way table shows students by gender and whether they wear glasses.
| | Wears glasses | No glasses | Total |
|---|---|---|---|
| Male | | | |
| Female | | | |
| Total | | | |
A student is chosen at random. Find (a) , (b) , and (c) , using the complement for part (c).Show worked solution →
Part (a) - female AND wears glasses. Read the single cell where the female row meets the glasses column: students, out of :
Part (b) - male. This is a single category, so use the marginal total from the bottom of the male row: out of :
Part (c) - does not wear glasses, via the complement. The glasses column totals , so . "Does not wear glasses" is the complement:
so the answers are , and . (Check on (c): the no-glasses column totals , and , which agrees.)
Related dot points
- List the sample space of equally likely outcomes and calculate the theoretical probability of an event using , the number of favourable outcomes divided by the total number of outcomes
A focused answer to the HSC Maths Standard 2 dot point on theoretical probability. Listing a sample space systematically, equally likely outcomes, the formula P(E) = n(E)/n(S), and finding the probability of single and described compound events on dice and cards, with worked Australian examples.
- Recognise that probabilities of events range from 0 to 1, identify the complement of an event and use the relationship that the probability of an event and its complement sum to 1, so the probability of 'not E' equals 1 minus the probability of E
A focused answer to the HSC Maths Standard 2 dot point on the range of probabilities and complementary events. Why every probability sits between 0 and 1, what the complement of an event is, the rule that an event and its complement add to 1 so the probability of not E is 1 minus the probability of E, and the at-least-one short cut, with worked Australian examples.
- Calculate relative frequencies to estimate probabilities of events, where relative frequency = frequency of the event divided by the total number of trials, recognising that as the number of trials increases the relative frequency approaches the theoretical probability
A focused answer to the HSC Maths Standard 2 dot point on relative frequency. Relative frequency as frequency divided by total, using it as an experimental probability, estimating the chance of a real event from collected data, and the long-run convergence of relative frequency toward the theoretical probability, with worked Australian examples.
- Calculate the expected frequency of an event from the probability of the event and the number of trials, using expected frequency = P(E) x number of trials
A focused answer to the HSC Maths Standard 2 dot point on expected frequency. The rule expected frequency = P(E) times the number of trials, predicting how many times an event should happen over many trials, the expected-versus-observed difference, and working backwards to find the number of trials from an expected count, with worked Australian examples.