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An urn contains four balls bearing numbe...

An urn contains four balls bearing numbers 1, 2, 3 and 123 respectively. A ball is drawn at random from the urn. Let `E_i`, i = 1, 2, 3 denote the event that digit i appears on the ball drawn. Which one of the following is not true?

A

`E_1` and `E_2` are independent

B

`E_2` and `E_3` are independent

C

`E_3` and `E_1` are independent

D

`E_1,E_2,E_3` are independent

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem, we need to analyze the events \(E_1\), \(E_2\), and \(E_3\) based on the balls in the urn and determine which statement about their independence is not true. ### Step-by-Step Solution: 1. **Identify the Balls in the Urn:** The urn contains four balls with the following numbers: - Ball 1: 1 - Ball 2: 2 - Ball 3: 3 - Ball 4: 123 2. **Define Events:** - \(E_1\): Event that digit 1 appears on the drawn ball. - \(E_2\): Event that digit 2 appears on the drawn ball. - \(E_3\): Event that digit 3 appears on the drawn ball. 3. **Calculate Probabilities of Each Event:** - **For \(E_1\)**: The favorable cases are balls 1 and 4 (since both have the digit 1). \[ P(E_1) = \frac{2}{4} = \frac{1}{2} \] - **For \(E_2\)**: The favorable cases are balls 2 and 4 (since both have the digit 2). \[ P(E_2) = \frac{2}{4} = \frac{1}{2} \] - **For \(E_3\)**: The favorable cases are balls 3 and 4 (since both have the digit 3). \[ P(E_3) = \frac{2}{4} = \frac{1}{2} \] 4. **Calculate Joint Probabilities:** - **For \(E_1 \cap E_2\)**: The favorable case is only ball 4 (which has both digits 1 and 2). \[ P(E_1 \cap E_2) = \frac{1}{4} \] - **For \(E_2 \cap E_3\)**: The favorable case is only ball 4 (which has both digits 2 and 3). \[ P(E_2 \cap E_3) = \frac{1}{4} \] - **For \(E_1 \cap E_3\)**: The favorable case is only ball 4 (which has both digits 1 and 3). \[ P(E_1 \cap E_3) = \frac{1}{4} \] - **For \(E_1 \cap E_2 \cap E_3\)**: The favorable case is only ball 4 (which has digits 1, 2, and 3). \[ P(E_1 \cap E_2 \cap E_3) = \frac{1}{4} \] 5. **Check Independence:** - For events to be independent, the following must hold: \[ P(E_i \cap E_j) = P(E_i) \cdot P(E_j) \] - **Checking \(E_1\) and \(E_2\)**: \[ P(E_1 \cap E_2) = \frac{1}{4} \quad \text{and} \quad P(E_1) \cdot P(E_2) = \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{4} \] (They are independent.) - **Checking \(E_2\) and \(E_3\)**: \[ P(E_2 \cap E_3) = \frac{1}{4} \quad \text{and} \quad P(E_2) \cdot P(E_3) = \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{4} \] (They are independent.) - **Checking \(E_1\) and \(E_3\)**: \[ P(E_1 \cap E_3) = \frac{1}{4} \quad \text{and} \quad P(E_1) \cdot P(E_3) = \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{4} \] (They are independent.) - **Checking \(E_1\), \(E_2\), and \(E_3\)**: \[ P(E_1 \cap E_2 \cap E_3) = \frac{1}{4} \quad \text{and} \quad P(E_1) \cdot P(E_2) \cdot P(E_3) = \frac{1}{2} \cdot \frac{1}{2} \cdot \frac{1}{2} = \frac{1}{8} \] (They are **not independent**.) 6. **Conclusion:** The statement that \(E_1\), \(E_2\), and \(E_3\) are independent is **not true**. ### Final Answer: The statement that is not true is: **D. \(E_1\), \(E_2\), and \(E_3\) are independent.**
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