Step 1: Understanding independent events. Two events are said to be independent if the occurrence of one event does not affect the probability of the occurrence of the other. Mathematically, for two independent events \( A \) and \( B \): \[ P(A \cap B) = P(A) \cdot P(B) \]
Step 2: Explanation of incorrect options.
- (A) Mutually exclusive: Mutually exclusive events cannot occur simultaneously. If one event occurs, the other cannot, making them dependent in a way.
- (B) Dependent: Dependent events are those where the occurrence of one event affects the occurrence of the other.
- (C) Either dependent or independent: This is ambiguous and does not define the relationship clearly.
Match the following Class and their Drug:
(1) Alkylating (P) 5-fluorouracil
(2) Platinum analog (Q) Cisplatin
(3) Antimetabolite (R) Cetuximab
(4) EGF receptor inhibitor (S) Chlorambucil