Probability and Tree Diagrams Worksheets | Questions and Revision

Probability and Tree Diagrams Worksheets, Questions and Revision

Level 4-5

Probability & Tree Diagrams

Probability is the study of how likely things are to happen. This topic will look at how tree diagrams can be used to determine the probability of different types of events happening.

Make sure you are happy with the following topics before continuing.

Level 4-5

Independent and Dependent Events

We need to understand independent and dependent events to be able to do the next sections. 

  • Two or more events are independent if one event doesn’t effect the probability of the others happening.
  • Two or more events are dependent if one event does effect the probability of the others happening. 

Example:

  • Getting a head both times on 2 coin flips are independent events.
  • Picking a red marble at random from a bag, then picking a green marble without replacing the red marble are dependent events. 
Level 6-7

The AND Rule

  • The AND rule states that: If two events, A and B, are independent, then, 

\text{P}(A \text{ and } B) = \text{P}(A) \times \text{P}(B)

This means to find the probability of A and B occurring you must multiply the probability of A occurring by the probability of B occurring. 

Level 6-7
Level 4-5

The OR Rule

  • The OR rule states that: for two events, A and B, then,  

\text{P}(A \text{ or } B) = \text{P}(A) + \text{P}(B) - \text{P}(A \text{ and } B)

  • If A and B cannot happen together, we say they are mutually exclusive, and then we have \text{P}(A \text{ and } B) = 0, so the OR rule becomes

\text{P}(A \text{ or } B) = \text{P}(A) + \text{P}(B)

Level 6-7
Level 6-7

Probability Trees

probability tree diagram with replacement

Probability trees are similar to frequency trees, but we instead put the probabilities on the branches and the events at the end of the branch.

Example: A bag contains 4 red balls and 5 blue balls.

Raheem picks 2 balls at random.

Calculate the probability that he selects the same coloured ball each time, given that after each time a ball is selected, it is replaced

Step 1: Construct the probability tree showing two selections.

We know there are a total of 9 balls in the bag so there is a \dfrac{4}{9} chance of picking a red ball.

Then as the red ball is replaced, there are still 4 red balls left out of 9, so again there is a  \dfrac{4}{9} chance of picking a red ball on the second selection. 

Continue and fill in the rest.

probability tree diagram with replacement

Step 2: Use the AND rule

From the tree diagram we can see that there are two ways of doing this, either

blue and blue, or red and red

We use the AND rule via the tree diagram, so

\text{P(blue and blue)}=\dfrac{5}{9}\times\dfrac{5}{9}= \textcolor{blue}{\dfrac{25}{81}} \,\, and \,\, \text{P(red and red)}=\dfrac{4}{9}\times\dfrac{4}{9}= \textcolor{red}{\dfrac{16}{81}}

Step 3: Use the OR rule

The final step then is to add the probabilities together, by the OR rule for mutually exclusive events, to get,

\text{P(same colour)}= \dfrac{25}{81} +\dfrac{16}{81}=\dfrac{41}{81}

Level 6-7
Level 6-7

Conditional Probability

The conditional probability of A given B, is the “probability that event A happens given that event B happens”. You will not be told that it is a conditional probability question, but seeing words like ‘without replacement’ or ‘given’ will mean that it is one, or you may have to use your own intuition. 

If two events, A and B, are independent, then 

\textcolor{black}{\text{P}(A \text{ given } B) = \text{P}(A)} \,\,     and    \,\, \textcolor{black}{\text{P}(B \text{ given } A) = \text{P}(B)}

If two events, A and B are dependent, then

\textcolor{black}{\text{P}(A \text{ and } B) = \text{P}(A) \times \text{P}(B \text{ given } A)}

Example:

Benjamin plays football for his local team. The probability that he is in the starting line up for his team this Sunday is 0.7. If he starts the game, the probability that he scores a goal is 0.4.

What is the probability that Benjamin starts the game but doesn’t score a goal?

Step 1: We want to find \text{P(starts and doesn't score)}

Let “starts” be event A and “doesn’t score” be event B

Step 2: \text{P}(A) = 0.7

\text{P}(B \text{ given } A) = \text{P(doesn't score given he starts)} = 1 - 0.4 = 0.6

Step 3: Then,

\text{P}(A \text{ and } B) = \text{P}(A) \times \text{P}(B \text{ given } A) = 0.7 \times 0.6 = 0.42

Level 8-9

Conditional Probability Trees

conditional probability tree diagram without replacement

Conditional probability trees are similar to probability trees, but the probabilities change depending on the previous events.

Example: A bag contains 4 red balls and 5 blue balls.

Raheem picks 2 balls at random.

Calculate the probability that he selects the same coloured ball each time, given that each time a ball is selected, it is not replaced

Step 1: Construct the probability tree showing two selections,

There are 9 balls to begin with, reducing to 8 after the first selection, as shown below,

The chance of selecting a red ball for the first selection is \dfrac{4}{9}, then with one red ball removed,  the second selection is \dfrac{3}{8} and so on….

conditional probability tree diagram without replacement

Step 2: Use the tree diagram to determine the probability of selecting the same colour twice. We can see that there are two ways of doing this, either blue and blue, or red and red. We use the AND rule via the probability tree, so

\text{P(blue and blue)}=\dfrac{5}{9}\times\dfrac{4}{8}= \textcolor{blue}{\dfrac{20}{72}} \text{ and  } \text{P(red and red)}=\dfrac{4}{9}\times\dfrac{3}{8}= \textcolor{red}{\dfrac{12}{72}}

Step 3: Add the probabilities together, by the OR rule for mutually exclusive events, to get

\text{P(Same colour)}= \dfrac{20}{72} +\dfrac{12}{72}=\dfrac{32}{72}

Level 8-9

GCSE Maths Revision Cards

(242 Reviews) £8.99
View Buy this product on Amazon

Take an Online Exam

Probability and Tree Diagrams Online Exam

Probability and Tree Diagrams (Higher) Online Exam

Example Questions

(a) Let “Anna passing” be event A_p and “Rob” passing be event B_p.

To work out the probability of Rob passing we can write the probability of both passing as: 

 

P(A_p \text{ and } R_p) =0.35  

 

Substituting in the probability of Anna passing her test, 

 

0.7 \times P(R_p) =0.35

 

Rearranging the equation to make P(R_p) the subject: 

 

P(R_p) = 0.35 \div 0.7 = 0.5

 

(b)  The probability of both Anna and Rob failing their driving test can be found using a tree diagram as shown below: 

 

probability tree diagrams example 1 answer

 

Hence the probability of them both failing is \dfrac{3}{20} = 0.15.

For this question when drawing the tree diagram we have to be careful as the probability changes between the two events. This is the result of not replacing the first counter hence only leaving 11 counters in the bag to pick from. 

 

probability tree diagrams example 2 answer

Adding together the probabilities of the result being blue then blue or green then green: 

 

\dfrac{7}{22}+\dfrac{5}{33}=\dfrac{31}{66}

To work out the probability of the bus being late on both of the days  we can use a tree diagram where E represents the bus being on time or early and L represents the bus being late.

 

probability tree diagrams example 3 answer

 

Going along the bottom line we find that the probability of being late of both days is: 

 

\dfrac{1}{16}

Here we have to work out the probability that the coach takes out two balls that are a different colour. 

For conditional probability questions, when drawing the tree diagram we have to be careful as the probability changes between the two events. This is the result of not replacing the first ball hence only leaving 13 balls in the bag to pick from. 

 

probability tree diagrams example 4 answer

 

Adding together the probabilities of the result being two different colours: 

 

\dfrac{45}{182}+\dfrac{45}{182}=\dfrac{90}{182}=\dfrac{45}{91}

 

Hence as this is just below a half it is more likely that the coach picks two balls that are of the same colour. 

(a) The resultant tree diagram should look something like:

 

probability tree diagrams example 5 answer

 

(b) To find the probability he wins at least one game we can simple add the top 3 branches probabilities together or subtract the probability of bottom branch from 1

 

\dfrac{9}{25}+\dfrac{6}{25}+\dfrac{6}{25}=\dfrac{21}{25}

or, 

 

1-\dfrac{4}{25}=\dfrac{21}{25}

Worksheets and Exam Questions

MME

(NEW) Probability and Tree Diagrams Exam Style Questions - MME

Level 4-5 New Official MME

Drill Questions

MME

Probability - Drill Questions

MME

Probability And Relative Frequency - Drill Questions

MME

Tree Diagrams - Drill Questions

MME

Probability Trees - Drill Questions

MME

Probability and Tree Diagrams - Drill Questions