AQA · GCSE · Mathematics

    Course version: 8300 · Version from Sept 2015

    Probability: including using tree diagrams

    A tree diagram is a branching possibility space for combined experiments.

    Checked against the AQA 8300 specification (opens in a new tab) on .

    • Point 7 of 10
    • 4 key terms

    Study notes

    From the checked teaching notes for this specification point.

    The idea

    A tree diagram is a branching possibility space for combined experiments. Each branch shows one outcome at a stage, and the probability on that branch is written beside it. For independent stages, multiply along a path to get the probability of that sequence; for example, two fair coin tosses give P(heads then heads) = 1/2 × 1/2 = 1/4. For dependent stages, adjust the second-stage probabilities to reflect what has already been removed. Add the probabilities of all paths that satisfy the event. Tree diagrams also help you see whether outcomes are equally likely and whether all possibilities are covered. You may be asked to complete missing branches or probabilities, or to read a value from a finished diagram.

    What earns the marks

    • A tree diagram represents a combined experiment as successive stages, with each branch showing one outcome at that stage.
    • The probability of a path is found by multiplying the probabilities along its branches.
    • For independent stages, the probability on a second-stage branch is unchanged by the first-stage outcome.
    • For dependent stages, second-stage probabilities must be recalculated after the first stage, for example when items are removed without replacement.
    • The probability of an event made up of several paths is the sum of the probabilities of those paths.
    • A completed tree diagram should have branch probabilities that sum to 1 at each set of branches from a node.

    Common mistakes and how to put them right

    • Adding along a path instead of multiplying.

      Put it right: The correct method is to multiply the probabilities on the branches of one path to obtain the probability of that sequence.

    • Using the same second-stage probabilities when items are removed without replacement.

      Put it right: The correct method is to reduce the denominator and, where relevant, the numerator to match what remains.

    • Forgetting to add all relevant paths for an event.

      Put it right: The correct method is to identify every path that satisfies the event and sum their probabilities.

    • Assuming branches must be equally likely.

      Put it right: The correct method is to read or calculate each branch probability from the information given.

    Exam tips

    • Label each branch with its outcome and write the probability clearly beside the branch before calculating.
    • For without-replacement questions, write the reduced fractions on the second set of branches so the change is visible.
    • Check that the probabilities on branches from any single node sum to 1; this catches many slips.
    • When an event has more than one path, list the paths first and then add their probabilities.

    Try the lesson

    The start of the Probability: including using tree diagrams lesson, made from checked teaching notes for this specification point.

    Have a go first

    A fair coin is flipped twice. A tree diagram has two branches for the first flip, each labelled with probability 1/2. How many branches leave each of those first-flip outcomes to show the second flip?

    Listen

    A tree diagram is a branching possibility space for combined experiments. Each branch shows one outcome at a stage, and the probability on that branch is written beside it. For independent stages, multiply along a path to get the probability of that sequence; for example, two fair coin tosses give P(heads then heads) = 1/2 × 1/2 = 1/4. For dependent stages, adjust the second-stage probabilities to reflect what has already been removed. Add the probabilities of all paths that satisfy the event. Tree diagrams also help you see whether outcomes are equally likely and whether all possibilities are covered. You may be asked to complete missing branches or probabilities, or to read a value from a finished diagram. A strong answer earns marks for these points. A tree diagram represents a combined experiment as successive stages, with each branch showing one outcome at that stage. The probability of a path is found by multiplying the probabilities along its branches. For independent stages, the probability on a second-stage branch is unchanged by the first-stage outcome. For dependent stages, second-stage probabilities must be recalculated after the first stage, for example when items are removed without replacement. Exam tip: Label each branch with its outcome and write the probability clearly beside the branch before calculating.

    Key words

    Say what each word means before you turn the card.

    Combined experiments

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    Independent and dependent events

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    Multiplication along branches

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    Addition of path probabilities

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    See every definition
    Combined experiments
    A tree diagram is a branching possibility space for these, represented as successive stages with each branch showing one outcome at that stage.
    Independent and dependent events
    For independent stages the probability on a second-stage branch is unchanged by the first-stage outcome; for dependent stages second-stage probabilities must be recalculated after the first stage.
    Multiplication along branches
    The probability of a path is found by multiplying the probabilities along its branches.
    Addition of path probabilities
    The probability of an event made up of several paths is the sum of the probabilities of those paths.

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