Venn diagrams, tree diagrams, dependent/independent events and counting principles for NSC Paper 1. CAPS-aligned with AI explanations.
Probability in Paper 1 covers Venn diagrams, tree diagrams, mutually exclusive and independent events, conditional probability, and the fundamental counting principle including arrangements. Questions are often set in a familiar context, such as a survey of learners, a sports team or number plates, and the first step is to organise the information. A Venn diagram suits overlapping events, a two-way contingency table suits survey data, and a tree diagram suits events that happen one after another. Counting-principle questions ask how many arrangements are possible, often with a condition such as letters that must stay together or digits that may not repeat, and then use that count to find a probability.
Independent ⇔ P(A and B) = P(A) · P(B) = 0.6 · 0.5 = 0.3. Yes, independent.
Mutually exclusive means P(A and B) = 0, so P(A or B) = 0.4 + 0.35 = 0.75. P(not A) = 1 − 0.4 = 0.6.
P(first red) = 3/5. One red ball is gone, so P(second red) = 2/4. P(both red) = 3/5 × 2/4 = 6/20 = 3/10.
Treat UE as one block, giving 5 items to arrange: 5! = 120. The block can be UE or EU, so multiply by 2: 240 arrangements.
Total arrangements: 6! = 720. Keep the pair together as one block: 5! × 2 = 240. P = 240/720 = 1/3.
Roughly 15 marks in NSC Paper 1.
Mutually exclusive events cannot happen together, so P(A and B) = 0. Independent events do not affect each other, so P(A and B) = P(A) × P(B). Two events with non-zero probabilities cannot be both.
When events happen in stages, such as two draws from a bag or two matches in a row. Multiply along each branch, then add the branches that satisfy the question.
Treat the group as a single item, arrange all the items, then multiply by the number of ways the group can be arranged internally.
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