Sample space

Definition taught in Random experiments and probability, part of Probability

Sample space

Type Definition
Taught in Random experiments and probability
Part Probability
Properties 2
Worked examples 2
Questions using it 5

The sample space \Omega of a random experiment is the set of all outcomes that experiment can produce.

Properties

Equally likely outcomes

Main article: Equally likely outcomes

If \Omega is finite and every outcome has the same probability, then for every event A

\mathbb{P}(A)=\frac{|A|}{|\Omega|}.

Four ways of counting draws

Order recorded Replacement Number of outcomes
yes yes n^k
yes no n!/(n-k)!
no no \binom{n}{k}
no yes \binom{n+k-1}{k}

Ordered outcomes are written as vectors, so (1,2,3)\ne(3,2,1). Unordered outcomes are written as sets, so \{1,2,3\}=\{3,2,1\}.

Examples

Three coin tosses

Question page: Three coin tosses

A fair coin is tossed three times.

  1. List the sample space if the whole sequence of heads and tails is recorded. Write heads as 1 and tails as 0.

  2. List the sample space if only the number of heads is recorded.

  1. The sample space is every sequence of length 3 with coordinates in \{0,1\}:

\Omega=\{(0,0,0),(0,0,1),(0,1,0),(0,1,1),(1,0,0),(1,0,1),(1,1,0),(1,1,1)\}.

  1. If only the number of heads is kept, \Omega=\{0,1,2,3\}.

Weights on the two coin spaces

A fair coin is tossed three times, and the tosses are independent. Assign a probability to every outcome of each of these two sample spaces: the set of sequences in \{0,1\}^3, and the set \{0,1,2,3\} of possible numbers of heads.

  1. Independence and fairness give probability 1/8 to each of the eight sequences.

  2. The number of heads is binomial. \mathbb{P}(\{0\})=\mathbb{P}(\{3\})=1/8 and \mathbb{P}(\{1\})=\mathbb{P}(\{2\})=3/8.

Used in

See also

Event · Random variable · Probability measure · Properties of a probability · Equally likely outcomes · Four ways of counting draws · Conditional probability · Product rule

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