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Probability — Part 1: Sample spaces and events

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Lesson

Random experiments and their outcomes

Before we can measure chance we must say exactly what can happen. This part builds the language: outcomes, sample spaces and events as sets.

In this lesson you will

  • Describe a random experiment and write its sample space (formative)
  • Write events as subsets and combine them with or, and, not and but not
  • Decide whether two events are mutually exclusive or exhaustive
  • Split a sample space into mutually exclusive and exhaustive events
The sample space lists every outcome once; its size is $n(S)$.
Random experimentSample space SSn(S)n(S)
Toss a coin once{H,T}\{\text{H}, \text{T}\}2
Toss a coin; on a head throw a die, on a tail toss the coin again{H1,H2,…,H6,TH,TT}\{\text{H1}, \text{H2}, \ldots, \text{H6}, \text{TH}, \text{TT}\}8
Draw two of the tickets 1, 2, 3, 4 one after the other, without putting the first back{(1,2),(1,3),(1,4),(2,1),…,(4,3)}\{(1, 2), (1, 3), (1, 4), (2, 1), \ldots, (4, 3)\}12
Pick a pair of people from A, B, C, D (order does not matter){AB,AC,AD,BC,BD,CD}\{\text{AB}, \text{AC}, \text{AD}, \text{BC}, \text{BD}, \text{CD}\}6