Probability 2: Combined Events, AND/OR Rules and Probability Trees

Learn combined events, AND/OR probability rules and probability trees for IB MYP Year 5 Standard Maths. Clear steps with common exam mistakes highlighted.

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Taking Probability Further

Having built your foundation in Probability 1, this topic focuses on events that involve more than one outcome — known as combined events. You will use formal rules and diagrams to calculate probabilities in more complex situations.

The AND and OR Rules

OR Rule (Addition Rule)

For mutually exclusive events (events that cannot happen at the same time):

P(A or B) = P(A) + P(B)

If events are not mutually exclusive, you must subtract the overlap: P(A or B) = P(A) + P(B) − P(A and B).

AND Rule (Multiplication Rule for Independent Events)

For independent events (where the outcome of one does not affect the other):

P(A and B) = P(A) × P(B)

Independence is a key assumption here — always check whether the context supports it.

Probability Trees

Probability trees are structured diagrams that map out sequences of events. Each branch shows one possible outcome and its probability. The probability of a specific sequence is found by multiplying along the branches.

Using Probability Trees

Common Mistakes

Criterion A and D Relevance

Tree diagrams test procedural accuracy (Criterion A) but also appear in real-life contexts — medical testing, quality control, sports outcomes — which connects to Criterion D. Always interpret your final probability in context.

Frequently asked questions

Probability 2 deals with combined events: what happens when two or more things occur together or in sequence. You draw tree diagrams to track outcomes and their probabilities across stages, multiplying along branches and adding between branches. You also learn to distinguish independent events (one does not affect the other, so P(A and B) = P(A) x P(B)) from mutually exclusive events (cannot both happen, so P(A or B) = P(A) + P(B)). The final Standard topic in Unit 6.
They mix up the rules. Mutually exclusive means events cannot both happen, so you add: P(A or B) = P(A) + P(B). Independent means one event does not change the other, so you multiply: P(A and B) = P(A) x P(B). They are not the same idea. On tree diagrams, multiply probabilities along a single path, then add the path totals for the final answer. Always check that branch probabilities at each stage sum to 1.
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