Sample Spaces, Events & Set Operations

Build the event language needed for probability. Define sample spaces, simple and compound events, unions, intersections, complements, disjointness, partitions and De Morgan laws. Prerequisites: basic sets and logic plus the earlier data foundations. Questions progress from identifying recorded outcomes to diagnosing overlapping categories and changes of universe. Worked solutions use explicit outcomes and logical cases; no conditional-probability formulas are assumed.

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