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Two events E and F are independent. If P...

Two events E and F are independent. If `P(E )=0.3` and `P(EcupF)=0.5` then `P(E//F)-P(F//E)` equals to

A

`2/7`

B

`3/35`

C

`1/70`

D

`1/7`

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To solve the problem, we need to find the value of \( P(E|F) - P(F|E) \) given that events \( E \) and \( F \) are independent, \( P(E) = 0.3 \), and \( P(E \cup F) = 0.5 \). ### Step-by-Step Solution: 1. **Understand the relationship between probabilities:** Since \( E \) and \( F \) are independent events, we have: \[ P(E \cap F) = P(E) \cdot P(F) \] 2. **Use the formula for the union of two events:** The formula for the probability of the union of two events is: \[ P(E \cup F) = P(E) + P(F) - P(E \cap F) \] Plugging in the known values: \[ 0.5 = P(E) + P(F) - P(E \cap F) \] Substituting \( P(E) = 0.3 \) and \( P(E \cap F) = P(E) \cdot P(F) = 0.3 \cdot P(F) \): \[ 0.5 = 0.3 + P(F) - 0.3 \cdot P(F) \] 3. **Let \( P(F) = x \):** We can rewrite the equation as: \[ 0.5 = 0.3 + x - 0.3x \] Simplifying this, we get: \[ 0.5 = 0.3 + x(1 - 0.3) \] \[ 0.5 = 0.3 + 0.7x \] 4. **Solve for \( x \):** Rearranging gives: \[ 0.5 - 0.3 = 0.7x \] \[ 0.2 = 0.7x \] \[ x = \frac{0.2}{0.7} = \frac{2}{7} \] Thus, \( P(F) = \frac{2}{7} \). 5. **Calculate \( P(E \cap F) \):** Now, we can find \( P(E \cap F) \): \[ P(E \cap F) = P(E) \cdot P(F) = 0.3 \cdot \frac{2}{7} = \frac{0.6}{7} = \frac{6}{70} \] 6. **Calculate \( P(E|F) \) and \( P(F|E) \):** Using the definition of conditional probability: \[ P(E|F) = \frac{P(E \cap F)}{P(F)} = \frac{\frac{6}{70}}{\frac{2}{7}} = \frac{6}{70} \cdot \frac{7}{2} = \frac{6 \cdot 7}{70 \cdot 2} = \frac{21}{70} = \frac{3}{10} \] \[ P(F|E) = \frac{P(E \cap F)}{P(E)} = \frac{\frac{6}{70}}{0.3} = \frac{\frac{6}{70}}{\frac{3}{10}} = \frac{6}{70} \cdot \frac{10}{3} = \frac{60}{210} = \frac{2}{7} \] 7. **Calculate \( P(E|F) - P(F|E) \):** Now, we find the difference: \[ P(E|F) - P(F|E) = \frac{3}{10} - \frac{2}{7} \] To subtract these fractions, find a common denominator (which is 70): \[ = \frac{3 \cdot 7}{10 \cdot 7} - \frac{2 \cdot 10}{7 \cdot 10} = \frac{21}{70} - \frac{20}{70} = \frac{1}{70} \] ### Final Answer: Thus, \( P(E|F) - P(F|E) = \frac{1}{70} \).

To solve the problem, we need to find the value of \( P(E|F) - P(F|E) \) given that events \( E \) and \( F \) are independent, \( P(E) = 0.3 \), and \( P(E \cup F) = 0.5 \). ### Step-by-Step Solution: 1. **Understand the relationship between probabilities:** Since \( E \) and \( F \) are independent events, we have: \[ P(E \cap F) = P(E) \cdot P(F) ...
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