If A and B are two events such that P(A)=0.7P(A) = 0.7, P(B)=0.4P(B) = 0.4 and P(A∩B‾)=0.5P(A \cap \overline{B}) = 0.5, where B‾\overline{B} denotes the complement of B, then P(B∣(A∪B‾))P(B \mid (A \cup \overline{B})) is equal to:

Answer: 0.20.8=0.25\frac{0.2}{0.8} = 0.25

Step-by-step solution

Step 1: Find P(A ∩ B)

We know that the probability of event A can be expressed as the sum of the probability of A intersecting with B and the probability of A intersecting with the complement of B. This is because event A can be partitioned into two disjoint parts: A∩BA \cap B and A∩B‾A \cap \overline{B}. Using the given values, we can find P(A∩B)P(A \cap B).

Step 2: Calculate P(A ∪ B)

The probability of the union of two events A and B is given by the formula P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B). We have all the necessary values to compute this.

Step 3: Calculate P(A ∪ B̅)

To find P(A∪B‾)P(A \cup \overline{B}), we first need P(B‾)P(\overline{B}). Since P(B)=0.4P(B) = 0.4, P(B‾)=1−P(B)=1−0.4=0.6P(\overline{B}) = 1 - P(B) = 1 - 0.4 = 0.6. Now we can use the union formula for AA and B‾\overline{B}.

Step 4: Calculate P(B ∩ (A ∪ B̅))

We need to find the intersection of event B with the union of A and B‾\overline{B}. Using the distributive property of set operations, B∩(A∪B‾)=(B∩A)∪(B∩B‾)B \cap (A \cup \overline{B}) = (B \cap A) \cup (B \cap \overline{B}). Since B∩B‾B \cap \overline{B} is an empty set (null event), its probability is 0. Therefore, P(B∩(A∪B‾))=P(A∩B)P(B \cap (A \cup \overline{B})) = P(A \cap B).

Step 5: Calculate P(B | (A ∪ B̅))

Finally, we use the formula for conditional probability: P(X∣Y)=P(X∩Y)P(Y)P(X \mid Y) = \frac{P(X \cap Y)}{P(Y)}. We have already calculated both the numerator and the denominator in the previous steps.

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