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A and B are two mutually exclusive event...

A and B are two mutually exclusive events of an experiment: If P(not A) = 0.65, `P(A cup B) = 0.65` and P(B) = p, then the value of p is

A

`0.35`

B

`0.25`

C

`0.30`

D

`0.40`

Text Solution

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The correct Answer is:
To solve the problem step by step, we will use the information given about the events A and B. ### Step 1: Understand the given information We know: - \( P(\text{not } A) = 0.65 \) - \( P(A \cup B) = 0.65 \) - \( P(B) = p \) - A and B are mutually exclusive events. ### Step 2: Calculate \( P(A) \) Since \( P(\text{not } A) = 0.65 \), we can find \( P(A) \) using the formula: \[ P(A) = 1 - P(\text{not } A) \] Substituting the value: \[ P(A) = 1 - 0.65 = 0.35 \] ### Step 3: Use the formula for the union of two events For mutually exclusive events, the probability of their union is given by: \[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \] Since A and B are mutually exclusive, \( P(A \cap B) = 0 \). Therefore, the formula simplifies to: \[ P(A \cup B) = P(A) + P(B) \] ### Step 4: Substitute the known values into the formula We know \( P(A \cup B) = 0.65 \) and \( P(A) = 0.35 \). Substituting these values into the equation: \[ 0.65 = 0.35 + P(B) \] ### Step 5: Solve for \( P(B) \) Rearranging the equation to find \( P(B) \): \[ P(B) = 0.65 - 0.35 \] \[ P(B) = 0.30 \] ### Conclusion Thus, the value of \( p \) is: \[ \boxed{0.30} \]
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