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For any events A and B. Given P(AuuB)=0....

For any events `A` and `B`. Given `P(AuuB)=0.6`, `P(A)=P(B)`, `P(B//A)=0.8`. Then the value of `P[AnnbarB)uu(barAnnB)]` is

A

`1//3`

B

`1//2`

C

`1//4`

D

`1//5`

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem step by step, let's break down the information given and apply the relevant probability formulas. ### Given: 1. \( P(A \cup B) = 0.6 \) 2. \( P(A) = P(B) \) 3. \( P(B|A) = 0.8 \) ### Step 1: Define \( P(A) \) and \( P(B) \) Since \( P(A) = P(B) \), we can denote \( P(A) = P(B) = p \). ### Step 2: Use the conditional probability From the conditional probability formula: \[ P(B|A) = \frac{P(A \cap B)}{P(A)} \] Substituting the known values: \[ 0.8 = \frac{P(A \cap B)}{p} \] This gives us: \[ P(A \cap B) = 0.8p \tag{1} \] ### Step 3: Use the formula for the union of two events Using the formula for the probability of the union of two events: \[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \] Substituting the known values: \[ 0.6 = p + p - P(A \cap B) \] Substituting \( P(A \cap B) \) from equation (1): \[ 0.6 = p + p - 0.8p \] This simplifies to: \[ 0.6 = 2p - 0.8p \] \[ 0.6 = 1.2p \] Now, solving for \( p \): \[ p = \frac{0.6}{1.2} = 0.5 \] ### Step 4: Find \( P(A \cap B) \) Now substituting \( p \) back into equation (1): \[ P(A \cap B) = 0.8 \times 0.5 = 0.4 \] ### Step 5: Calculate \( P(A \cap B^c \cup A^c \cap B) \) We want to find: \[ P(A \cap B^c \cup A^c \cap B) \] Using the formula: \[ P(A \cap B^c \cup A^c \cap B) = P(A) + P(B) - 2P(A \cap B) \] Substituting the values we found: \[ P(A \cap B^c \cup A^c \cap B) = 0.5 + 0.5 - 2 \times 0.4 \] Calculating this gives: \[ P(A \cap B^c \cup A^c \cap B) = 1 - 0.8 = 0.2 \] ### Final Answer Thus, the value of \( P(A \cap B^c \cup A^c \cap B) \) is: \[ \boxed{0.2} \]

To solve the problem step by step, let's break down the information given and apply the relevant probability formulas. ### Given: 1. \( P(A \cup B) = 0.6 \) 2. \( P(A) = P(B) \) 3. \( P(B|A) = 0.8 \) ### Step 1: Define \( P(A) \) and \( P(B) \) ...
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