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Here we will learn about probability tree diagrams, including what they are and how to complete them. We will also look at calculating probabilities using probability tree diagrams.

There are also probability tree diagram worksheets based on Edexcel, AQA and OCR exam questions, along with further guidance on where to go next if youβre still stuck.

**Probability tree diagrams** are a way of organising the information of two or more probability events. Probability tree diagrams show all the possible outcomes of the events and can be used to solve probability questions.

To use tree diagrams, we need to know the probability of individual events occurring and use the fact that **probabilities on each set of branches add up to ** \bf{1}.

Probability tree diagrams start by showing the possible outcomes for the first event, with the **outcomes at the ends of the branches** and the **probabilities written along the branches**.

The probabilities of the events can be written as **fractions **or **decimals**.

For example,

A coin is flipped and a dice is rolled.

What is the probability of getting a βtailβ and a β6β?

The first event is flipping the coin. The two possible outcomes are βheadsβ and βtailsβ. These are **mutually exclusive events**. They cannot happen at the same time.

The second event is rolling the dice. The possible outcomes are β1β, β2β, β3β, β4β, β5β and β6β. However, the question is only interested in β6β, so we can have a β6β branch and a βnot a 6 β branch.

These outcomes can occur whether the coin landed on heads or tails so we add these outcomes to the end of both branches in order to show all possible combinations of outcomes.

The probability of getting a β6β is \frac{1}{6}.

The probability of getting βnot a 6 β will be 1-\frac{1}{6} = \frac{5}{6} .

Remember that the probabilities on each set of branches **add up to ** \bf{1} **.**

We want the probability of getting a tail and a 6 so we follow the path that shows tail and 6.

The AND rule for probability states that \text{P (A and B) }=\text{P(A)} \times \text{P(B)} .

Taking the probabilities from the corresponding branches of the tree diagram, we get

Probability of getting a βtailβ and a β6β is

\frac{1}{2}\times \frac{1}{6}=\frac{1}{12} .

Tree diagrams can be used for both independent and dependent events.

The events βflipping a coinβ and βrolling a diceβ are **independent events** – where the outcome of one event does not affect the outcome of the other event.

Events can also be **dependent events** – where the outcome of one event depends upon what has happened before.

In order to use a tree diagram to find probability:

**Fill in the probabilities on the branches.****Consider which outcomes are required to answer the question.****Find the probability of those outcomes by multiplying along the branches.****Use the probability/probabilities you have calculated to answer the question.**

Get your free probability tree diagrams worksheet of 20+ questions and answers. Includes reasoning and applied questions.

DOWNLOAD FREEGet your free probability tree diagrams worksheet of 20+ questions and answers. Includes reasoning and applied questions.

DOWNLOAD FREEA spinner is spun twice. It can land on red or it can land on blue.

Complete the tree diagram.

Work out the probability that both spins will land on blue.

**Fill in the probabilities on the branches.**

We have been given the probability of the spinner landing on red. We can work out the probability of the spinner landing on blue by using the fact that the probabilities on each set of branches add up to 1.

P(\text{blue})=1-P(\text{red})=1-\frac{1}{5}=\frac{4}{5}Since the two spins are independent we can use the same probabilities for the second set of branches.

2**Consider which outcomes are required to answer the question.**

We can write the different outcomes at the ends of the branches. The question asks about two blues so we will need to look for the path which shows two blues.

3**Find the probability of those outcomes by multiplying along the branches.**

We need to use the probabilities on the branches and multiply them together to find the required probability.

The probability of the spinner landing on blue twice is

\begin{aligned} P(\text{blue and blue})&=P(\text{blue})\times P(\text{blue})\\\\ &=\frac{4}{5}\times \frac{4}{5}\\\\ &=\frac{16}{25} \end{aligned} .

4**Use the probability/probabilities you have calculated to answer the question.**

The probability that both spins will land on blue is \frac{16}{25}.

In a bag there are 10 balls. There are 4 red balls and the remaining balls are green.

A ball is removed at random and the colour noted.

The ball is replaced.

A second ball is removed at random and the colour is noted.

Complete the tree diagram.

Work out the probability that there will be one ball of each colour.

**Fill in the probabilities on the branches.**

We have been given the probability of picking a red ball. We can fill in the probability of picking a green ball using the fact that the probabilities for each set of branches add up to 1. We are going to use decimals like in the tree diagram, but we could use fractions.

P(\text{green})=1-P(\text{red})=1-0.4=0.6

So, we can fill in the missing probability for the first ball pick. Since the ball which is picked is replaced we can use the same probabilities for the second set of branches.

**Consider which outcomes are required to answer the question.**

The question asks about one red ball and one green ball. There are two paths which give one red ball and one green ball.

**Find the probability of those outcomes by multiplying along the branches.**

We need to use the probabilities on the branches and multiply them together.

\begin{aligned}
&\text{P(Red and Green): } 0.4 \times 0.6=0.24\\\\
& \text{P(Green and Red): } 0.6 \times 0.4=0.24
\end{aligned}

**Use the probability/probabilities you have calculated to answer the question.**

Since we need one ball of each colour, we can have one red and one green in either order.

We can use P(A or B) = P(A) + P(B), giving us

\begin{aligned} P(\text{one ball of each colour})&=P(\text{R,G}) \ or \ P(\text{G,R})\\\\ &=P(\text{R,G})+ P(\text{G,R})\\\\ &=0.24+0.24\\\\ &=0.48 \end{aligned}

The probability that one ball will be red and one ball will be green is 0.48.

Mary has to catch 2 buses to work. The probability the first bus will be late is 0.1 and the probability the second bus will be late is 0.3.

Complete the tree diagram.

Work out the probability that at least one bus will be late.

**Fill in the probabilities on the branches.**

We have been given the probability of the first bus being late. We can work out the probability of the first bus NOT being late.

P(\text{NOT late})=1-P(\text{late})=1-0.1=0.9

We can fill in the missing probability for the first bus.

Since the probability of the second bus being late is different, we need to use different probabilities for the second set of branches.

P(\text{NOT late})=1-P(\text{late})=1-0.3=0.7

**Consider which outcomes are required to answer the question.**

The question asks about *at least *one of the buses being late. So we need to look at one bus late or both buses are late.

**Find the probability of those outcomes by multiplying along the branches.**

\begin{aligned} \text{P(Late and late): } 0.1 \times 0.3=0.03\\\\ \text{P(Late and not late): } 0.1 \times 0.7 =0.07\\\\ \text{P(Not late and late): } 0.9 \times 0.3=0.27 \end{aligned}

**Use the probability/probabilities you have calculated to answer the question.**

\begin{aligned} P(\text{at least one bus late}) &= P(\text{Late, Late}) \ or \ P(\text{Late, Not late}) \ or \ P(\text{Not late, Late}) \\\\ &= P(\text{Late, Late})+P(\text{Late, Not late})+P(\text{Not late, Late}) \\\\ &=0.03+0.07+0.27\\\\ &=0.37 \end{aligned}

The probability that at least one bus will be late is 0.37.

Alternatively:

You could have found the probability of at least one bus being late a different way.

\begin{aligned}
P(\text{at least one late}) & =1-P(\text{NONE late})\\\\
& = 1-(0.9 \times 0.7) \\\\
& =1-0.63\\\\
& =0.37
\end{aligned}

There are 9 sweets in a bag. 3 of the sweets are mints and the remaining sweets are chews. A sweet is taken out at random and is eaten.

A second sweet is taken at random and is also eaten.

Complete the tree diagram.

Work out the probability that two mints are eaten.

**Fill in the probabilities on the branches.**

We have been given the probability of the first sweet being a mint. We can work out the probability of the first sweet being a chew. It is better to keep the fractions as they are and not cancel.

P(\text{chew})=1-P(\text{mint})=1-\frac{3}{9}=\frac{6}{9}

We can fill in the missing probability for the first pick of sweets.

Since the sweet which is picked is eaten it is NOT replaced we need different probabilities for the second set of branches. These probabilities change depending on whether the first sweet was a mint or a chew.

If the first sweet is a mint, there will be 8 sweets left, 2 mints and 6 chews.

If the first sweet is a chew, there will be 8 sweets left, 3 mints and 5 chews.

**Consider which outcomes are required to answer the question.**

The question asks about both sweets being mints. So we need to look at this part of the tree diagram.

**Find the probability of those outcomes by multiplying along the branches.**

The probability of picking two mints is:

\begin{aligned}
P(\text{mint and mint})&=P(\text{mint})\times P(\text{mint})\\\\
&=\frac{3}{9}\times \frac{2}{8}\\\\
&=\frac{6}{72}\\\\
&=\frac{1}{12}
\end{aligned}

**Use the probability/probabilities you have calculated to answer the question.**

The probability that both sweets will be mints is \frac{1}{12}.

In a bag there are 7 counters. There are 2 black counters and the remaining counters are white.

A counter is removed and the colour noted.

The counter is NOT replaced.

A second counter is removed and the colour is noted.

Complete the tree diagram.

Work out the probability that there will be one counter of each colour picked.

**Fill in the probabilities on the branches.**

We have been given the probability of picking a black counter. We can fill in the probability of picking a white counter.

P(\text{white})=1-P(\text{black})=1-\frac{2}{7}=\frac{5}{7}

So, we can fill in the missing probability for the first counter. Since the counter which is picked is NOT replaced we need different probabilities for the second set of branches. These probabilities change depending on whether the first counter was white or black.

If one black counter has been picked, there will be 6 counters left, 1 black and 5 white.

If one white counter has been picked, there will be 6 counters left, 2 black and 4 white.

**Consider which outcomes are required to answer the question.**

The question asks about one of each colour counter so we will need to look for any paths which give one counter of each colour.

**Find the probability of those outcomes by multiplying along the branches.**

\begin{aligned} \text{P(Black and white): } \frac{2}{7} \times \frac{5}{6} = \frac{10}{42}\\\\
\text{P(White and black): } \frac{5}{7} \times \frac{2}{6} = \frac{10}{42}
\end{aligned}

**Use the probability/probabilities you have calculated to answer the question.**

\begin{aligned} P(\text{one of each colour})&=P(\text{B,W})\ or \ P(\text{W,B})\\\\
&=P(\text{B,W})+ P(\text{W,B})\\\\
&=\frac{10}{42}+\frac{10}{42}\\\\
&=\frac{20}{42}\\\\
&=\frac{10}{21}
\end{aligned}

The probability that one of each colour counter will be picked is \frac{10}{21}.

Three coins are flipped.

Complete the tree diagram.

Work out the probability of getting 3 heads.

**Fill in the probabilities on the branches.**

We have been given the probability of the first coin landing on a head. We can work out the probability of the first coin landing on a tail.

P(\text{tail})=1-P(\text{head})=1-0.5=0.5

We can fill in the missing probability for the first coin. The second and third coins will have the same probabilities.

**Consider which outcomes are required to answer the question.**

The question asks about 3 heads. So we need to look for the path which shows three heads.

**Find the probability of those outcomes by multiplying along the branches.**

\begin{aligned}
P(\text{3 heads}) &= P(\text{Head and Head and Head)}) \\\\
&= P(\text{Head}) \times P(\text{Head})\times P(\text{Head}) \\\\
&=0.5\times 0.5\times 0.5\\\\
&=0.125
\end{aligned}

**Use the probability/probabilities you have calculated to answer the question.**

The probability that there will be 3 heads is 0.125.

**Cancelling fractions**

It is not worth cancelling fractions when working within probability questions. This is because the numerator and denominator give information about the event, for example the number of balls in a bag. We often need to add fractions and they need a common denominator. Only cancel right at the end of a question.

**Multiplying decimals**

Take care when multiplying decimals. It is easy to make mistakes. For example 0.3 \times 0.4=0.12, but some people might think the answer is 1.2, which would be incorrect.

**Dependent events**

Remember that for dependent events, the probability of the second event changes depending on the outcome of the first event.

1. A spinner has green sections and blue sections.

The probability of the spinner landing on green is \frac{2}{7}.

The spinner is spun twice.

Using the tree diagram, work out the probability of the spinner landing on green twice.

\frac{2}{7}

\frac{4}{49}

\frac{5}{7}

\frac{4}{14}

\begin{aligned} P(\text{2 Greens})&=P(\text{Green and green})\\\\ &=P(\text{Green})\times P(\text{Green})\\\\ &=\frac{2}{7}\times \frac{2}{7}\\\\ &=\frac{4}{49} \end{aligned}

2. In a bag there are 10 balls. There are 2 red balls and the remaining balls are yellow.

A ball is removed at random and the colour noted.

The ball is replaced.

A second ball is removed at random and the colour is noted

Using the tree diagram, work out the probability that there will be a ball of each colour chosen.

0.64

0.2

0.16

0.32

\begin{aligned} P(\text{One of each colour})&=P(\text{R,Y}) \ or \ P(\text{Y,R})\\\\ &=P(\text{R,Y}) + P(\text{Y,R})\\\\ &=(0.2\times 0.8)+(0.8\times 0.2)\\\\ &=0.16+0.16\\\\ &=0.32 \end{aligned}

3. A football team wins its matches with a probability of 0.7.

Using a tree diagram, find the probability that they win at least 1 of their next two matches.

0.49

0.3

0.42

0.91

\begin{aligned} P(\text{At least one win})&=P(\text{Win, Win}) \ or \ P(\text{Win, Not win}) \ or \ P(\text{Not win, Win})\\\\
&=P(\text{Win, Win}) + P(\text{Win, Not win})+P(\text{Not win, Win})\\\\
&=(0.7\times 0.7)+(0.7\times 0.3)+P(0.3\times 0.7)\\\\
&=0.49+0.21+0.21\\\\
&=0.91
\end{aligned}

4. There are 6 chocolates in a box. 4 of the chocolates are milk chocolates and the remaining chocolates are plain chocolates. A chocolate is taken out at random and is eaten.

A second chocolate is taken at random and is also eaten.

Work out the probability that two milk chocolates are eaten.

Give your answer in its simplest form.

\frac{2}{6}

\frac{3}{5}

\frac{2}{5}

\frac{13}{36}

As the first chocolate is eaten, the probabilities on the second set of branches are different.

\begin{aligned} P(\text{Two Milks})&=P(\text{Milk and Milk})\\\\ &=P(\text{Milk}) \times P(\text{Milk})\\\\ &=\frac{4}{6}\times \frac{3}{5}\\\\ &=\frac{12}{30}\\\\ &=\frac{2}{5} \end{aligned}

5. In a bag there are 8 counters. There are 3 blue counters and the remaining counters are yellow.

A counter is removed at random and the colour noted.

The counter is NOT replaced.

A second counter is removed at random and the colour is noted.

Using the tree diagram, work out the probability that there will be at least one blue counter picked.

\frac{9}{14}

\frac{15}{28}

\frac{5}{14}

\frac{3}{28}

\begin{aligned} P(\text{At least one blue})&=P(\text{B,B}) \ or \ P(\text{B,Y}) \ or \ P(\text{Y,B})\\\\ &=P(\text{B,B}) + P(\text{B,Y})+P(\text{Y,B})\\\\ &=(\frac{3}{8}\times\frac{2}{7})+(\frac{3}{8}\times \frac{5}{7})+P(\frac{5}{8}\times \frac{3}{7})\\\\ &=\frac{6}{56}+\frac{15}{56}+\frac{15}{56}\\\\ &=\frac{36}{56}\\\\ &=\frac{9}{14} \end{aligned}

6. Three dice are rolled.

Using the tree diagram, work out the probability of getting 3 even numbers.

0.125

0.5

0.25

0.333

The probability of rolling an odd number is 0.5. The probability of rolling an even number is also 0.5.

\begin{aligned} P(\text{3 Even numbers}) &= P(\text{Even and Even and Even}) \\\\ &= P(\text{Even}) \times P(\text{Even})\times P(\text{Even}) \\\\ &=0.5\times 0.5\times 0.5\\\\ &=0.125 \end{aligned}

1. A bag contains only black and white counters.

Grace picks a counter at random and then replaces it.

Grace then picks a second counter.

(a) Complete the tree diagram.

(b) Work out the probability that Grace picks 2 black counters.

**(4 marks)**

Show answer

(a)

For \frac{2}{7} on the first branch.

**(1)**

For \frac{2}{7}, \frac{5}{7}, \frac{2}{7} on the second branches.

**(1)**

(b)

\frac{5}{7}\times \frac{5}{7}

**(1)**

**(1)**

2. Amir has two bags.

In the first bag there are 3 red counters and 2 blue counters.

In the second bag there are 4 red counters and 5 blue counters.

Amir takes at random a counter from the first bag.

He then takes at random a counter from the second bag.

(a) Complete the tree diagram.

(b) Work out the probability that Amir takes two blue counters.

**(4 marks)**

Show answer

(a)

For \frac{2}{5} on the first branch.

**(1)**

For \frac{5}{9}, \frac{4}{9}, \frac{5}{9} on the second branches.

**(1)**

(b)

\frac{2}{5}\times \frac{5}{9}

**(1)**

**(1)**

3. Suzy eithers travels by bus or walks to the shops.

The probability that she catches a bus **to** the shops is 0.2.

The probability that she catches a bus **from** the shops is 0.9.

(a) Complete the tree diagram.

(b) Work out the probability that Suzy walks at least one way.

**(5 marks)**

Show answer

(a)

For 0.8 on the first branch.

**(1)**

For 0.9 and 0.1 on the second branches.

**(1)**

(b)

\begin{aligned} &0.2\times 0.1=0.02 \\ &0.8\times 0.9=0.72 \\ &0.8\times 0.1=0.08 \end{aligned}

**(1)**

**(1)**

**(1)**

You have now learned how to:

- Complete probability trees
- Use probability trees to calculate probability of 2 or more events happening
- Use probability trees to solve probability problems

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