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Part of Conditional Probability — GCSE Mathematics

This exam tips covers Exam Tips within Conditional Probability for GCSE Mathematics. Revise Conditional Probability in Probability for GCSE Mathematics with 14 exam-style questions and 12 flashcards. This is a high-frequency topic, so it is worth revising until the explanation feels precise and repeatable. It is section 4 of 4 in this topic. Treat this as a marking guide for what examiners are looking for, not just a fact list.

Topic position

Section 4 of 4

Practice

14 questions

Recall

12 flashcards

Exam Tips

  • Identify the condition - what's given (after the |)
  • Reduce your focus - only consider outcomes where the condition is true
  • Use tables and diagrams - they make conditional probability clearer
  • Check your answer - conditional probabilities should still be between 0 and 1
  • Practice with real contexts - medical tests, weather, games

Keep building this topic

Read this section alongside the surrounding pages in Conditional Probability. That gives you the full topic sequence instead of a single isolated revision point.

Calculating Conditional ProbabilityProbability That Depends on ContextKey Facts

Practice Questions for Conditional Probability

What does the notation P(A|B) mean?

  • A. The probability of A and B both occurring
  • B. The probability of A occurring given that B has already occurred
  • C. The probability of A or B occurring
  • D. The probability of A occurring divided by the probability of B occurring
1 markfoundation

P(A) = 0.4, P(B) = 0.3 and P(A ∩ B) = 0.12. Using conditional probability, determine whether A and B are independent events. You must show all your working and give a reason for your conclusion.

3 markshigher

Quick Recall Flashcards

What does the vertical bar | mean in P(A|B)?
It means 'given that'. P(A|B) is read as 'the probability of A given B'. The event after the bar is the condition — it is already known to have occurred.
What is conditional probability?
The probability of one event occurring given that another event has already occurred. It restricts the sample space to only the outcomes where the condition is met.

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