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What does conditioning on an event B do to the sample space?

AIt leaves the sample space completely unchanged
BIt doubles the sample space to allow for B
CIt reduces the sample space to the outcomes of B
DIt replaces the sample space with the union set
Answer & Solution
Correct answer: C. It reduces the sample space to the outcomes of B
1. Saying that B has already occurred rules out every outcome outside B. 2. The sample space therefore shrinks to the outcomes of B alone. 3. The probability of A is then measured against that reduced space rather than against the original one. 4. Leaving the sample space unchanged would make the conditional identical to the plain probability, which only happens when the events are independent. _Source: OpenStax Introductory Business Statistics (CC BY 4.0), Ch 3 "Probability Topics", section 3.1 Terminology_
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