Conditional and independent events

Distinguish independent events (P(A and B) = P(A) x P(B), one event does not affect the other) from conditional/dependent events (P(B given A), one event changes the other's probability, typically from drawing without replacement), and test independence by comparing P(B) with P(B given A) using a tree diagram, a Venn diagram, or a two-way table.

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Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • S6-3
New NZC (2026)
  • NZC26-P4-PRO-ETP-K-Y9-05

Resources

Terminology

  • Independent events
  • Dependent events
  • Conditional probability
  • P(A given B)
  • P(A and B)
  • Without replacement
  • With replacement
  • Tree diagram

Task goals

  • Decide whether two events are independent or dependent (conditional) from a description of the situation.
  • Build and read a without-replacement probability tree, where the second-stage branch probabilities depend on the first-stage outcome.
  • Use P(B given A) notation and calculate a conditional probability from a tree, a Venn diagram, or a two-way table.
  • Test independence by comparing P(B) with P(B given A): equal means independent, different means dependent.
  • Calculate a combined-event probability (either order, at least one) from a without-replacement tree.
  • Critique a probability claim that confuses independence with dependence, including the gambler's fallacy and mistaking a survey correlation for proof of dependence.

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Conditional and independent events

Conditional and independent events

Know

In joint events, events can be dependent or independent.

Statement▸
Year 9 · Probability · Experimental and theoretical probability
NZC26-P4-PRO-ETP-K-Y9-05

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