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Tree diagrams and combined events

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Tree Diagrams: The Basics

  • A tree diagram shows all possible outcomes of two or more events, with each branch representing a possible result.
  • Each branch is labelled with its probability; probabilities on branches from the same node must sum to 1.
  • Multiply along a path: P(A then B) = P(A) × P(B | A). This becomes P(A) × P(B) only for independent events.
  • To find the probability of either of two distinct outcomes, add their probabilities (e.g. P(A then B) or P(B then A)).
  • The sum of probabilities of all final outcomes equals 1.

Two independent fair-coin tosses

Two independent fair-coin tossesFirst tossSecond toss1/21/21/21/21/21/2HTH, H 1/4H, T 1/4T, H 1/4T, T 1/4

Independent vs Dependent Events

  • Independent events: the outcome of one does not affect the other (e.g. tossing a coin twice).
  • For independent stages, the second-stage probability is unchanged by the first outcome. It does not have to equal a first-stage probability for a different event.
  • Dependent events: the outcome of the first event changes the probabilities for the second (e.g. drawing without replacement).
  • In without replacement problems, the second branch probabilities must be adjusted based on the first outcome.

Drawing Tree Diagrams

  • Start with a node and draw a branch for each possible outcome of the first event, writing the probability on each.
  • From each first branch, draw branches for the second event, writing the conditional probabilities (given the first outcome).
  • Label each final outcome clearly (e.g. R,R; R,B; B,R; B,B).
  • Check that the probabilities on branches from each node sum to 1.

Calculating Probabilities of Combined Events

  • For a specific combined outcome (e.g. first red, then blue), multiply the probabilities along that path.
  • For 'at least one' type questions, it is often easier to use the complement: P(at least one) = 1 − P(none).
  • When a condition can be satisfied by multiple paths (e.g. one red and one blue), add the probabilities of all those paths.
  • Always check that your final probability is between 0 and 1.

Without Replacement Problems

  • In without replacement, the total number of items decreases after the first draw, so the second probabilities change.
  • Example: from 5 red and 3 blue, P(R then B) = (5/8) × (3/7) — the denominator drops to 7.
  • The probability of the second event depends on the first outcome, so use conditional probabilities.
  • Tree diagrams are especially useful for tracking these changing probabilities.

Two counters without replacement

Two counters without replacementFirst drawSecond draw3/52/42/42/53/41/4RBR, R 3/10R, B 3/10B, R 3/10B, B 1/10

Conditional Probability (Higher Tier)

  • P(A given B) means the probability of A occurring given that B has already occurred.
  • From a tree diagram, P(A given B) = probability of the path ending in A and B divided by the total probability of B.
  • From a two-way table, P(A given B) = (number in both A and B) / (total number in B).
  • Do not confuse P(A given B) with P(B given A) — they are usually different.
  • Conditioning on B requires P(B) > 0. If A ∩ B spans several final paths, add their probabilities before dividing by P(B).

Using Two-Way Tables and Venn Diagrams

  • Two-way tables show frequencies of two events; use them to find conditional probabilities by focusing on the relevant row or column.
  • Venn diagrams can represent probabilities of events and their intersections; conditional probability is the intersection divided by the condition's probability.
  • These representations help visualise combined events and avoid errors.

Conditional probability from counts

Conditional probability from countsPhysicsNo physicsMathsNo mathsTotalTotal1525154540603070100

Common Misconceptions and Errors

  • Forgetting to adjust second branch probabilities when there is no replacement.
  • Adding along a branch instead of multiplying — multiply for 'and', add for 'or'.
  • Missing routes for 'at least one' — include all possible paths that satisfy the condition.
  • Branch probabilities not summing to 1 at each node.
  • Confusing P(A given B) with P(B given A) — always check which event is the condition.

Typical Exam Question Forms

  • Complete a partially drawn tree diagram and find the probability of a combined event.
  • Find the probability of at least one occurrence (e.g. at least one head in two tosses).
  • Solve a without replacement problem (e.g. drawing two counters from a bag).
  • Find a conditional probability from a two-way table.
  • Form and solve an equation from a probability condition (e.g. find an unknown number of items).

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Übungsfragen

Gratis-Vorschau — 8 von 60 Fragen. Registriere dich, um alle zu sehen.
  1. 1.In a tree diagram, what is the sum of the probabilities on all branches coming from the same node?

    Easy
    • A0
    • B0.5
    • C1
    • DIt depends on the situation
  2. 2.When multiplying probabilities along branches of a tree diagram, you are finding the probability of two events both happening.

    Easy

    True or false?

  3. 3.A fair coin is tossed twice. What is the probability of getting two heads?

    Easy
    • A1/2
    • B1/4
    • C1/8
    • D1
  4. 4.A bag contains 4 green and 6 yellow counters. Two counters are taken at random without replacement. What is the probability that both are green?

    Medium
    • A4/10 × 4/10
    • B4/10 × 3/9
    • C4/10 × 4/9
    • D4/10 × 3/10
  5. 5.Which of the following are correct statements about tree diagrams? (Select all that apply)

    Medium
    • AThe probabilities on branches from a node must sum to 1.
    • BWhen events are dependent, the probabilities on the second set of branches may change.
    • CTo find the probability of one event OR another, you multiply along different branches.
    • DTo find the probability of a combined outcome, you multiply along the branches for that path.
  6. 6.When sampling without replacement, the probabilities on the second set of branches are the same as on the first set.

    Easy

    True or false?

  7. 7.Match each event type to the correct operation for finding the probability of the combined event.

    Medium
    • Both A and B (independent)
    • Either A or B (mutually exclusive)
    • Both A and B (without replacement)
    • Multiply P(A) × P(B)
    • Add P(A) + P(B)
    • Multiply P(A) × P(B given A)
  8. 8.Put the steps in order to find the probability of at least one success in two independent trials.

    Medium
    • Identify the no-success path through the two trials.
    • Subtract the no-success probability from 1.
    • Identify the success and failure probabilities for each independent trial.
    • Multiply the two failure probabilities to evaluate that path.

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