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Let $\EE$ be an experiment.
Let $\Omega$ denote the sample space of $\EE$.
If $\Omega$ is a countable set, whether finite or infinite, then it is known as a discrete sample space.
- 1965: A.M. Arthurs: Probability Theory ... (previous) ... (next): Chapter $2$: Probability and Discrete Sample Spaces: $2.3$ Probabilities in discrete sample spaces
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $1$: Events and probabilities: $1.5$: Discrete Sample Spaces