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The number of times a die must be tossed...

The number of times a die must be tossed to obtain a 6 at least one with probability exceeding `0.9` is at least

A

13

B

19

C

25

D

none of these

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The correct Answer is:
To solve the problem of determining the minimum number of times a die must be tossed to obtain at least one '6' with a probability exceeding 0.9, we can follow these steps: ### Step-by-Step Solution: 1. **Understand the Problem**: We need to find the smallest integer \( n \) such that the probability of getting at least one '6' when tossing a die \( n \) times is greater than 0.9. 2. **Define the Probability**: The probability of getting at least one '6' in \( n \) tosses can be calculated using the complement rule: \[ P(\text{at least one '6'}) = 1 - P(\text{no '6' in } n \text{ tosses}) \] 3. **Calculate the Probability of Not Getting a '6'**: The probability of not getting a '6' in a single toss of a die is: \[ P(\text{not '6'}) = \frac{5}{6} \] Therefore, the probability of not getting a '6' in \( n \) tosses is: \[ P(\text{no '6' in } n \text{ tosses}) = \left(\frac{5}{6}\right)^n \] 4. **Set Up the Inequality**: We want the probability of getting at least one '6' to exceed 0.9: \[ 1 - \left(\frac{5}{6}\right)^n > 0.9 \] 5. **Rearrange the Inequality**: This can be rearranged to: \[ \left(\frac{5}{6}\right)^n < 0.1 \] 6. **Solve for \( n \)**: To find the smallest \( n \) that satisfies this inequality, we can take the logarithm of both sides: \[ n \log\left(\frac{5}{6}\right) < \log(0.1) \] Since \( \log\left(\frac{5}{6}\right) \) is negative, we can multiply both sides by -1 (which reverses the inequality): \[ n > \frac{\log(0.1)}{\log\left(\frac{5}{6}\right)} \] 7. **Calculate the Values**: Using a calculator: \[ \log(0.1) = -1 \] And, \[ \log\left(\frac{5}{6}\right) \approx -0.07918 \] Thus, \[ n > \frac{-1}{-0.07918} \approx 12.63 \] 8. **Determine the Smallest Integer**: Since \( n \) must be an integer, we round up to the nearest whole number: \[ n = 13 \] ### Conclusion: The minimum number of times a die must be tossed to obtain at least one '6' with a probability exceeding 0.9 is **13**.
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OBJECTIVE RD SHARMA ENGLISH-DISCRETE PROBABILITY DISTRIBUTIONS-Exercise
  1. Two dice are tossed 6 times. Then the probability that 7 will show an ...

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  2. If X follows a binomial distribution with parameters n=6 and p. If 4P(...

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  3. The number of times a die must be tossed to obtain a 6 at least one wi...

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  4. Seven chits are numbered 1 to 7. Four chits are drawn one by one with ...

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  5. If the mean of a binomial distribution is 25, then its standard deviat...

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  6. The value of C for which P(X=k)=Ck^2 can serve as the probability func...

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  7. In order to get a head at least once with probability >=0.9,the minimu...

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  8. The probability that a man will hit a target in shooting practise is 0...

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  9. If A and B each toss three coins. The probability that both get the sa...

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  10. In a box containing 100 bulbs, 10 bulbs are defective. Probability th...

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  11. The box contains tickets numbered from 1 to 20. Three tickets are draw...

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  12. An unbiased coin is tossed is tossed a fixed number of times. If the p...

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  13. A coin is tossed n times. The probability that head will turn up an od...

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  14. Two coins are tossed five times. The probability that an odd number of...

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  15. A six-faced dice is so biased that it is twice as likely to show an ev...

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  16. A fair coin is tossed n times. if the probability that head occurs 6 t...

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  17. An unbiased coin is tossed n times. Let X denote the number of times h...

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  18. A fair coin is tossed is fixed number of times. If the probability of ...

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  19. A carton contains 20 bulbs ,5 of which are defective. The probability ...

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  20. In a precision bombing attack, there is a 50% chance that any one bomb...

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