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Conditional Probability GCSE Maths Revision Guide

Learn conditional probability for Higher GCSE Maths using tables, tree and Venn diagrams, with worked examples, exam questions, answers and revision tips.

MathsGenie Team
•Last updated: 3 Nov 2026
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Conditional probability describes the probability of an event when you already know that another event has happened. In conditional probability GCSE Maths questions, this information changes the group, outcomes or branches that you should consider.

Higher tier students need to calculate and interpret conditional probabilities using representations such as two-way tables, tree diagrams and Venn diagrams. This guide explains each method, shows how to choose the correct denominator and includes worked examples and an exam-style question.

What is conditional probability?

A conditional probability is the probability of event AAA happening given that event BBB has happened. It can be written as:

P(A∣B) P(A \mid B) P(A∣B)

The vertical line means "given that", so P(A∣B)P(A \mid B)P(A∣B) is read as "the probability of AAA, given BBB".

For example, suppose a student is selected from a year group. The probability that the student studies French is different from the probability that the student studies French given that the student is in Year 11. The condition restricts the calculation to Year 11 students.

The general conditional probability formula is:

P(A∣B)=P(A∩B)P(B) P(A \mid B)=\frac{P(A \cap B)}{P(B)} P(A∣B)=P(B)P(A∩B)​

Here, A∩BA \cap BA∩B means that both AAA and BBB happen. At GCSE, questions often present the information using counts rather than asking you to apply the formula directly.

The essential principle is:

conditional probability=outcomes satisfying both conditionsoutcomes satisfying the given condition \text{conditional probability}=\frac{\text{outcomes satisfying both conditions}}{\text{outcomes satisfying the given condition}} conditional probability=outcomes satisfying the given conditionoutcomes satisfying both conditions​

The words given that identify the denominator. Once something is known, outcomes that do not meet that condition must be ignored.

Conditional probability using a two-way table

A two-way table separates data according to two characteristics. Complete any missing totals before calculating a probability because the totals help you identify the restricted group.

Worked example 1

A school records whether 120120120 students study French.

Studies FrenchDoes not study FrenchTotal
Girls404040202020606060
Boys323232282828606060
Total727272484848120120120

One student is selected at random. Find the probability that the student is a girl, given that the student studies French.

The condition is that the student studies French, so only the French column is relevant. There are 727272 students in that column, of whom 404040 are girls.

P(girl∣French)=4072=59 P(\text{girl}\mid\text{French})=\frac{40}{72}=\frac{5}{9} P(girl∣French)=7240​=95​

The denominator is 727272, not 120120120, because the information given has restricted the possible students to those studying French.

Reversing the condition

Conditional probability is not usually reversible. In the same table:

P(girl∣French)=4072 P(\text{girl}\mid\text{French})=\frac{40}{72} P(girl∣French)=7240​

but

P(French∣girl)=4060 P(\text{French}\mid\text{girl})=\frac{40}{60} P(French∣girl)=6040​

The numerator is 404040 in both calculations, but the denominator changes because the given condition changes.

Conditional probability using a tree diagram

A probability tree represents events that happen in stages. The branches after the first event may depend on what happened previously.

Two rules are particularly important:

  • Multiply along branches to find the probability of a complete route.
  • Add different routes when more than one route produces the required result.

With replacement and without replacement

If an object is replaced before the next selection, the probabilities normally remain unchanged. The events are independent.

If an object is not replaced, the total number of objects decreases and the contents of the collection may change. The second set of probabilities is therefore conditional on the first result.

Worked example 2

A bag contains 444 red counters and 333 blue counters. One counter is selected and not replaced. A second counter is then selected.

Find the probability that the second counter is blue, given that the first counter was red.

After a red counter has been removed, the bag contains 333 red counters and 333 blue counters. There are 666 counters remaining, so:

P(second blue∣first red)=36=12 P(\text{second blue}\mid\text{first red})=\frac{3}{6}=\frac{1}{2} P(second blue∣first red)=63​=21​

There is no need to multiply by the probability of selecting red first. The question tells you that the first counter was red, so you begin from that point on the tree.

If the question instead asked for the probability of selecting a red counter and then a blue counter, you would multiply:

P(red then blue)=47×36=27 P(\text{red then blue})=\frac{4}{7}\times\frac{3}{6}=\frac{2}{7} P(red then blue)=74​×63​=72​

This distinction between a complete route and a probability given an earlier result is important in Higher tier questions.

Conditional probability using a Venn diagram

A Venn diagram shows sets and their overlap. If you are given that an item belongs to one set, treat that set as the new sample space.

Worked example 3

In a group of 808080 students:

  • 454545 study music
  • 383838 study Spanish
  • 202020 study both music and Spanish

Find the probability that a student studies music, given that the student studies Spanish.

There are 383838 students in the Spanish set. Of these, 202020 are also in the music set.

P(music∣Spanish)=2038=1019 P(\text{music}\mid\text{Spanish})=\frac{20}{38}=\frac{10}{19} P(music∣Spanish)=3820​=1910​

The students outside the Spanish circle are irrelevant because the condition tells you that the chosen student studies Spanish.

Be careful when filling in a Venn diagram. If 454545 students study music and 202020 study both subjects, the music-only region contains:

45−20=25 45-20=25 45−20=25

The overlap is included in the total for each set, so it must not be counted again as part of the set-only region.

Conditional probability and expected frequencies

Some GCSE questions use expected frequencies rather than observed data. An expected frequency is the number of times an outcome is predicted to occur based on its probability.

For example, if 300300300 people are surveyed and the probability that a person belongs to group AAA is 0.40.40.4, the expected frequency for group AAA is:

300×0.4=120 300\times 0.4=120 300×0.4=120

These expected frequencies can be placed in a two-way table, frequency tree or Venn diagram. Once the representation is complete, conditional probability is calculated in the same way: restrict the denominator to the group specified after "given that".

A reliable method for exam questions

Use this method for conditional probability exam questions involving tables, trees or Venn diagrams:

  1. Identify the condition. Look for phrases such as "given that", "of those" or "knowing that".
  2. Restrict the sample space. Ignore outcomes that do not satisfy the condition.
  3. Find the new total. This becomes the denominator.
  4. Count the favourable outcomes inside that group. This becomes the numerator.
  5. Simplify the fraction unless the question requests a decimal or percentage.
  6. Check that the answer lies from 000 to 111. A probability cannot be negative or greater than 111.

When using a tree diagram, decide whether the question asks for a probability from a known point on the tree or the probability of an entire route. Multiply only when you need the probability of the full route.

Independence and conditional probability

Events AAA and BBB are independent if knowing that one event happened does not change the probability of the other. In that case:

P(A∣B)=P(A) P(A\mid B)=P(A) P(A∣B)=P(A)

For independent events:

P(A∩B)=P(A)×P(B) P(A\cap B)=P(A)\times P(B) P(A∩B)=P(A)×P(B)

Events are dependent when the outcome of one event changes the probability of another. Selecting objects without replacement is a common example.

Do not assume that two events are independent simply because they appear on separate branches or concern different characteristics. Independence must follow from the situation or be demonstrated by the probabilities.

Common mistakes in conditional probability GCSE Maths

Using the original total

Once a condition is given, the original total often stops being the denominator. In a table, use the relevant row or column total. In a Venn diagram, use the total inside the set named by the condition.

Reading the condition backwards

P(A∣B)P(A\mid B)P(A∣B) is not the same as P(B∣A)P(B\mid A)P(B∣A). Read the notation from left to right as "probability of AAA, given BBB".

Keeping probabilities unchanged without replacement

After an object is removed, update both the number of favourable objects and the total number remaining. Different first outcomes can produce different second-stage probabilities.

Multiplying when the first event is already known

If a question says "given that the first counter was red", do not multiply by the probability of selecting red. The condition means you start after that event has occurred.

Double-counting a Venn diagram overlap

The intersection belongs to both sets. Subtract the overlap when finding the number in a set-only region.

Rounding too early

Keep probabilities as exact fractions during your working where possible. Early decimal rounding can make a final answer inaccurate, particularly when several branch probabilities are multiplied.

Exam-style conditional probability question

A bag contains 555 red counters and 333 blue counters. Two counters are selected at random without replacement.

Given that the second counter is blue, find the probability that the first counter was red.

Answer

There are two routes for which the second counter is blue:

P(red then blue)=58×37=1556 P(\text{red then blue})=\frac{5}{8}\times\frac{3}{7}=\frac{15}{56} P(red then blue)=85​×73​=5615​ P(blue then blue)=38×27=656 P(\text{blue then blue})=\frac{3}{8}\times\frac{2}{7}=\frac{6}{56} P(blue then blue)=83​×72​=566​

The probability that the second counter is blue is therefore:

1556+656=2156 \frac{15}{56}+\frac{6}{56}=\frac{21}{56} 5615​+566​=5621​

Of this probability, the red-then-blue route accounts for 1556\frac{15}{56}5615​. Therefore:

P(first red∣second blue)=15562156=1521=57 P(\text{first red}\mid\text{second blue}) =\frac{\frac{15}{56}}{\frac{21}{56}} =\frac{15}{21} =\frac{5}{7} P(first red∣second blue)=5621​5615​​=2115​=75​

This is a reverse conditional probability question. Because the condition concerns the second counter, you must compare every route on which the second counter is blue.

Try 4 more conditional probability practice questions, then use the worked solution and mark scheme to check where each mark is awarded.

How to revise conditional probability effectively

Start by practising how to identify the restricted sample space. Cover the question and ask yourself, "Which group remains possible after the given information is applied?" This habit prevents the most common denominator error.

Next, practise the three main representations separately. Use two-way tables to develop confidence with row and column totals, Venn diagrams to practise intersections, and tree diagrams to distinguish complete routes from conditional branches.

The MathsGenie conditional probability lesson and video walkthroughs provide focused revision. You can then use the conditional probability exam booklet for extended practice.

For broader planning, check the GCSE Maths topics by exam board and tier. The GCSE Maths revision hub also provides past papers, topic resources and mark schemes for different exam boards.

Conclusion

Conditional probability is about changing the sample space when information is known. The condition determines the denominator, while the numerator counts outcomes that meet both the condition and the required event.

For Higher tier GCSE Maths, be ready to apply this idea to two-way tables, tree diagrams, Venn diagrams and expected frequencies. After reviewing the method, use MathsGenie's topic practice questions, booklet and mark schemes to test whether you can choose the correct denominator independently.

Sources and referenced URLs

  • https://mathsgenie.co.uk/gcse/maths/edexcel/grade-7-7-17-conditional-probability/lessons
  • https://mathsgenie.co.uk/gcse/maths/edexcel/grade-7-7-17-conditional-probability/videos
  • https://mathsgenie.co.uk/gcse/maths/edexcel/grade-7-7-17-conditional-probability/questions/q72
  • https://mathsgenie.co.uk/gcse/maths/edexcel/grade-7-7-17-conditional-probability/booklet
  • https://mathsgenie.co.uk/blog/gcse-maths-topics-by-exam-board-and-tier
  • https://mathsgenie.co.uk/gcse/maths
  • What is conditional probability?
  • Conditional probability using a two-way table
  • Conditional probability using a tree diagram
  • Conditional probability using a Venn diagram
  • Conditional probability and expected frequencies
  • A reliable method for exam questions
  • Independence and conditional probability
  • Common mistakes in conditional probability GCSE Maths
  • Exam-style conditional probability question
  • How to revise conditional probability effectively
  • Conclusion
  • Sources and referenced URLs

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