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A fair die is tossed repeatedly until a ...

A fair die is tossed repeatedly until a 6 is obtained. Let X denote the number of tosses required.
The probability that `X=3` equals

A

`25//216`

B

`25//36`

C

`5//36`

D

`125//216`

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The correct Answer is:
To solve the problem, we need to find the probability that the number of tosses required to get a 6 (denoted by X) equals 3. This means that in the first two tosses, we do not get a 6, and in the third toss, we do get a 6. ### Step-by-Step Solution: 1. **Understanding the Problem**: We are tossing a fair die repeatedly until we get a 6. We need to find the probability that it takes exactly 3 tosses to get the first 6. 2. **Identifying Probabilities**: - The probability of rolling a 6 on a single toss of the die is \( P(6) = \frac{1}{6} \). - The probability of not rolling a 6 (rolling a 1, 2, 3, 4, or 5) is \( P(\text{not 6}) = \frac{5}{6} \). 3. **Calculating the Probability for X = 3**: - For \( X = 3 \), we need: - The first toss to not be a 6: \( P(\text{not 6}) = \frac{5}{6} \) - The second toss to not be a 6: \( P(\text{not 6}) = \frac{5}{6} \) - The third toss to be a 6: \( P(6) = \frac{1}{6} \) Therefore, the probability that \( X = 3 \) can be calculated as: \[ P(X = 3) = P(\text{not 6 in 1st toss}) \times P(\text{not 6 in 2nd toss}) \times P(6 \text{ in 3rd toss}) \] \[ P(X = 3) = \left(\frac{5}{6}\right) \times \left(\frac{5}{6}\right) \times \left(\frac{1}{6}\right) \] 4. **Performing the Calculation**: \[ P(X = 3) = \frac{5}{6} \times \frac{5}{6} \times \frac{1}{6} = \frac{25}{36} \times \frac{1}{6} = \frac{25}{216} \] 5. **Final Result**: The probability that \( X = 3 \) is \( \frac{25}{216} \). ### Conclusion: Thus, the probability that \( X = 3 \) is \( \frac{25}{216} \).

To solve the problem, we need to find the probability that the number of tosses required to get a 6 (denoted by X) equals 3. This means that in the first two tosses, we do not get a 6, and in the third toss, we do get a 6. ### Step-by-Step Solution: 1. **Understanding the Problem**: We are tossing a fair die repeatedly until we get a 6. We need to find the probability that it takes exactly 3 tosses to get the first 6. 2. **Identifying Probabilities**: ...
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