The conditional probability P(E|F) is defined by

Question

Accepted Answer

B. {'text': 'P(E ∩ F) / P(F), if P(F) > 0', 'label': 'B'}

1. Conditional probability P(E|F) restricts the sample space to F.
2. Formally P(E|F) = P(E ∩ F) / P(F), valid whenever P(F) > 0.
3. It counts the elementary outcomes in E ∩ F relative to those in F.
4. If P(F) = 0 the conditional probability is undefined.
_Source: NCERT Class 12 Mathematics, Ch 13 "Probability", §13.2_

Answer

{'text': 'P(E) × P(F)', 'label': 'A'}

Answer

{'text': 'P(E) + P(F) − P(E ∩ F)', 'label': 'C'}

Answer

{'text': 'P(F) / P(E ∩ F)', 'label': 'D'}