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Exercise 14.2 · Q17

Q.A and B are events such that P(A)=0.42P(A) = 0.42, P(B)=0.48P(B) = 0.48 and P(A and B) = 0.16. Determine

(i) P(not A),
(ii) P(not B) and
(iii) P(A or B).
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Using the complement rule and the addition rule of probability, we find P(not A)=0.58P(\text{not }A) = 0.58, P(not B)=0.52P(\text{not }B) = 0.52, and P(A or B)=0.74P(A \text{ or } B) = 0.74.

The core ideas here are two fundamental probability rules. First, the complement rule: the probability that an event does not happen is simply 1 minus the probability that it does happen. Second, the addition rule for any two events: the probability that at least one of them occurs is the sum of their individual probabilities minus the probability that they both occur (to avoid double-counting the overlap).

Let’s apply these step by step.

  1. Finding P(not A)P(\text{not }A) The complement of AA is “not AA”. By the complement rule:

P(not A)=1−P(A)=1−0.42=0.58P(\text{not }A) = 1 - P(A) = 1 - 0.42 = 0.58

  1. Finding P(not B)P(\text{not }B) Similarly, the complement of BB is “not BB”:

P(not B)=1−P(B)=1−0.48=0.52P(\text{not }B) = 1 - P(B) = 1 - 0.48 = 0.52

  1. Finding P(A or B)P(A \text{ or } B) Here “or” means the inclusive or — at least one of the events occurs. The addition rule gives:

P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

Substituting the given values:

P(A∪B)=0.42+0.48−0.16=0.74P(A \cup B) = 0.42 + 0.48 - 0.16 = 0.74 …

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