Probability

Combine conditional probability with restricted, repeated and circular arrangements under an explicit sampling convention.

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  • 2 lessons
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Before you begin

Combine conditional probability with restricted, repeated and circular arrangements under an explicit sampling convention.

Learning goals
  • Use counting principles, permutations and combinations
  • Calculate and interpret conditional probabilities
  • Calculate event probabilities from an explicit sample space
  • Distinguish independence from mutual exclusivity
Syllabus statements covered
  • Include: addition and multiplication principles for counting; permutations nPr and combinations nCr; arrangements of objects in a line or circle, including repetition and restrictions; addition and multiplication of probabilities; mutually exclusive and independent events; tables of outcomes, Venn diagrams, tree diagrams, permutations and combinations to calculate probabilities; conditional probabilities in simple cases; P(A′) = 1 − P(A); P(A ∪ B) = P(A) + P(B) − P(A ∩ B); P(A|B) = P(A ∩ B)/P(B).
  • Include: addition and multiplication principles for counting; permutations nPr and combinations nCr; arrangements of objects in a line or circle, including repetition and restrictions; addition and multiplication of probabilities; mutually exclusive and independent events; tables of outcomes, Venn diagrams, tree diagrams, permutations and combinations to calculate probabilities; conditional probabilities in simple cases; P(A′) = 1 − P(A); P(A ∪ B) = P(A) + P(B) − P(A ∩ B); P(A|B) = P(A ∩ B)/P(B).

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