Probability in Further Mathematics necessitates the rigorous application of conditional logic and set notation to model multi-stage events. Candidates must distinguish between independent and mutually exclusive events, utilizing tree diagrams to calculate joint probabilities and the conditional formula P(A|B) = P(A ∩ B) / P(B). Mastery involves solving complex 'without replacement' scenarios and applying Bayesian-style reasoning to determine inverse probabilities from outcome data.
Key skills and knowledge for this topic
Real feedback patterns examiners use when marking
Key points examiners look for in your answers
Expert advice for maximising your marks
Pitfalls to avoid in your exam answers
Essential terms to know
How questions on this topic are typically asked
Related required practicals
Practice questions tailored to this topic