Compound-event probability is determined by identifying the relevant outcomes and combining probabilities through addition for “or” events and multiplication for independent or conditional “and” events. Learners distinguish mutually exclusive events from overlapping events, avoid double-counting shared outcomes, and represent relationships with sample-space tables, organized lists, Venn diagrams, or tree diagrams; this scope does not extend to formal axiomatic probability, continuous distributions, or advanced counting theory.
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A compound event combines two or more events.
A fair six-sided die is rolled and a fair coin is flipped.
Find:
Let:
The possible die results are , so
because the even numbers are .
For a fair coin,
The die roll and coin flip are independent, so multiply their probabilities:
So, the probability is
The events overlap: it is possible to roll an even number and get heads. Therefore, subtract the overlap:
So, the probability is
The subtraction is important because the outcomes with an even roll and heads would otherwise be counted twice.
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