Consider any experiment whose result is unknown, for example throwing a
coin, the daily number of customers in a supermarket or the duration of a
phone call in a service office. Each of these experiments has a more or
less wide variety of possible results. The set of all these results is
called **result space** and denoted Ω. In the examples
above we have
Ω_{1} = {head; number},
Ω_{2} = N
and
Ω_{3} = (0;∞).
We cannot forecast for certain, which result the experiment will have, but
we can tell something about the probability of certain results
ω ∈ Ω. Often we are not interested in single results but in
subsets A ⊆ Ω containing several results.

### Literature

- H. Bauer,
*Maß- und Integrationstheorie*(deGruyter 1992) - N. Schmitz,
*Vorlesungen über Wahrscheinlichkeitstheorie*(Teubner 1996)

*Project work for mathematical writing, University of York, 2000*