A probability space is a mathematical framework used to describe random experiments and the outcomes associated with them. It consists of three components: a sample space, which is the set of all possible outcomes; a set of events, which are subsets of the sample space; and a probability measure that assigns probabilities to these events. This structure is essential for applying the law of total probability, as it provides a systematic way to calculate the likelihood of different outcomes based on partitioned events.
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