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For any two events, A and B, it is given that P(A and B) = 0,12, P(A or B) = 0,83 and P(B) = 4 P(A). Are events A and B mutually exclusive? Justify your answer. Calculate P(B). Calculate P(not A).

Mathematics

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9.2.1 Are events A and B mutually exclusive? Justify your answer.

  1. Understand the condition for mutually exclusive events.

    Events A and B are mutually exclusive if the probability of both events occurring, P(A and B)P(A \text{ and } B), is 0.

  2. Compare the given probability with the condition.

    We are given P(A and B)=0.12P(A \text{ and } B) = 0.12.
    Since P(A and B)=0.12≠0P(A \text{ and } B) = 0.12 \neq 0, the events are not mutually exclusive.

    No, events A and B are not mutually exclusive.
    This is because P(A and B)=0.12P(A \text{ and } B) = 0.12, which is not equal to 0.

    9.2.2 Calculate P(B).

  3. Write down the Addition Rule for probabilities.

    The Addition Rule states:

    P(A or B)=P(A)+P(B)−P(A and B)P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B)
  4. Substitute the given values into the formula.

    We are given P(A or B)=0.83P(A \text{ or } B) = 0.83 and P(A and B)=0.12P(A \text{ and } B) = 0.12. We also know P(B)=4P(A)P(B) = 4P(A), which implies P(A)=P(B)4P(A) = \frac{P(B)}{4}.

    0.83=P(B)4+P(B)−0.120.83 = \frac{P(B)}{4} + P(B) - 0.12
  5. Solve the equation for P(B)P(B).

    First, add 0.12 to both sides:

    0.83+0.12=P(B)4+P(B)0.83 + 0.12 = \frac{P(B)}{4} + P(B) 0.95=14P(B)+1P(B)0.95 = \frac{1}{4}P(B) + 1P(B)

    Combine the terms with P(B)P(B):

    0.95=(14+44)P(B)0.95 = \left(\frac{1}{4} + \frac{4}{4}\right)P(B) 0.95=54P(B)0.95 = \frac{5}{4}P(B)

    Multiply both sides by 45\frac{4}{5} to find P(B)P(B):

    P(B)=0.95×45P(B) = 0.95 \times \frac{4}{5} P(B)=0.19×4P(B) = 0.19 \times 4 P(B)=0.76P(B) = \boxed{0.76}

    9.2.3 Calculate P(not A).

  6. Find P(A)P(A) using the relationship P(B)=4P(A)P(B) = 4P(A).

    From the previous calculation, we found P(B)=0.76P(B) = 0.76.

    P(A)=P(B)4P(A) = \frac{P(B)}{4} P(A)=0.764P(A) = \frac{0.76}{4} P(A)=0.19P(A) = 0.19
  7. Calculate P(not A)P(\text{not } A) using the complement rule.

    The probability of an event not occurring is 1 minus the probability of the event occurring:

    P(not A)=1−P(A)P(\text{not } A) = 1 - P(A) P(not A)=1−0.19P(\text{not } A) = 1 - 0.19 P(not A)=0.81P(\text{not } A) = \boxed{0.81}
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