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A bag contains 5 balls. Two balls are dr...

A bag contains 5 balls. Two balls are drawn and are found to be white. What is the probability that all the balls are white?

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To solve the problem step by step, we will use Bayes' theorem and the concept of conditional probability. ### Step 1: Define Events Let: - \( E_1 \): Event that there are 2 white balls in the bag. - \( E_2 \): Event that there are 3 white balls in the bag. - \( E_3 \): Event that there are 4 white balls in the bag. - \( E_4 \): Event that there are 5 white balls in the bag. - \( A \): Event that 2 balls drawn are white. We need to find \( P(E_4 | A) \), the probability that all balls are white given that 2 drawn balls are white. ### Step 2: Use Bayes' Theorem According to Bayes' theorem: \[ P(E_4 | A) = \frac{P(A | E_4) \cdot P(E_4)}{P(A)} \] ### Step 3: Calculate \( P(E_i) \) Assuming there is no prior information, we can assume that each event \( E_1, E_2, E_3, E_4 \) is equally likely: \[ P(E_1) = P(E_2) = P(E_3) = P(E_4) = \frac{1}{4} \] ### Step 4: Calculate \( P(A | E_i) \) Now we calculate \( P(A | E_i) \) for each event: 1. **For \( E_1 \)** (2 white balls): - \( P(A | E_1) = \frac{2C2}{5C2} = \frac{1}{10} \) 2. **For \( E_2 \)** (3 white balls): - \( P(A | E_2) = \frac{3C2}{5C2} = \frac{3}{10} \) 3. **For \( E_3 \)** (4 white balls): - \( P(A | E_3) = \frac{4C2}{5C2} = \frac{6}{10} \) 4. **For \( E_4 \)** (5 white balls): - \( P(A | E_4) = \frac{5C2}{5C2} = 1 \) ### Step 5: Calculate \( P(A) \) Using the law of total probability: \[ P(A) = P(A | E_1) P(E_1) + P(A | E_2) P(E_2) + P(A | E_3) P(E_3) + P(A | E_4) P(E_4) \] Substituting the values: \[ P(A) = \left(\frac{1}{10} \cdot \frac{1}{4}\right) + \left(\frac{3}{10} \cdot \frac{1}{4}\right) + \left(\frac{6}{10} \cdot \frac{1}{4}\right) + \left(1 \cdot \frac{1}{4}\right) \] \[ = \frac{1}{40} + \frac{3}{40} + \frac{6}{40} + \frac{10}{40} = \frac{20}{40} = \frac{1}{2} \] ### Step 6: Substitute into Bayes' Theorem Now substitute back into Bayes' theorem: \[ P(E_4 | A) = \frac{P(A | E_4) \cdot P(E_4)}{P(A)} = \frac{1 \cdot \frac{1}{4}}{\frac{1}{2}} = \frac{1}{4} \cdot 2 = \frac{1}{2} \] ### Final Answer Thus, the probability that all the balls are white given that the two drawn balls are white is: \[ \boxed{\frac{1}{2}} \]

To solve the problem step by step, we will use Bayes' theorem and the concept of conditional probability. ### Step 1: Define Events Let: - \( E_1 \): Event that there are 2 white balls in the bag. - \( E_2 \): Event that there are 3 white balls in the bag. - \( E_3 \): Event that there are 4 white balls in the bag. - \( E_4 \): Event that there are 5 white balls in the bag. ...
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