Engineering Probability
A sample space is the set of all possible outcomes of a random experiment. It serves as the foundation for probability, helping us understand what outcomes we might encounter and how to analyze them. By identifying the sample space, we can define events and outcomes more clearly, which is essential when constructing probability models and interpretations, and helps in applying the axioms of probability along with set theory and operations.
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