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In order to get a head at least once wit...

In order to get a head at least once with probability `>=0.9,`the minimum number of timesa unbiased coin needs to be tossed is

A

3

B

4

C

5

D

none of these

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The correct Answer is:
To solve the problem of determining the minimum number of times an unbiased coin needs to be tossed in order to get at least one head with a probability of at least 0.9, we can follow these steps: ### Step 1: Understand the Probability of Getting at Least One Head The probability of getting at least one head when tossing a coin \( n \) times can be expressed as: \[ P(\text{at least one head}) = 1 - P(\text{no heads}) \] Where \( P(\text{no heads}) \) is the probability of getting tails in all \( n \) tosses. ### Step 2: Calculate the Probability of Getting No Heads For an unbiased coin, the probability of getting tails in a single toss is \( \frac{1}{2} \). Therefore, the probability of getting tails in \( n \) tosses (which means no heads) is: \[ P(\text{no heads}) = \left(\frac{1}{2}\right)^n \] ### Step 3: Set Up the Inequality We want the probability of getting at least one head to be greater than or equal to 0.9: \[ 1 - P(\text{no heads}) \geq 0.9 \] Substituting the expression for \( P(\text{no heads}) \): \[ 1 - \left(\frac{1}{2}\right)^n \geq 0.9 \] ### Step 4: Rearrange the Inequality Rearranging the inequality gives us: \[ \left(\frac{1}{2}\right)^n \leq 0.1 \] ### Step 5: Solve for \( n \) To find \( n \), we can take the logarithm of both sides. Using base 2 logarithm: \[ n \log_2\left(\frac{1}{2}\right) \leq \log_2(0.1) \] Since \( \log_2\left(\frac{1}{2}\right) = -1 \), we can rewrite the inequality: \[ -n \leq \log_2(0.1) \] Thus, \[ n \geq -\log_2(0.1) \] ### Step 6: Calculate \( \log_2(0.1) \) Using the change of base formula: \[ \log_2(0.1) = \frac{\log_{10}(0.1)}{\log_{10}(2)} = \frac{-1}{\log_{10}(2)} \approx \frac{-1}{0.301} \approx -3.32 \] So, \[ n \geq 3.32 \] ### Step 7: Determine the Minimum Integer Value for \( n \) Since \( n \) must be a whole number, we round up to the next integer: \[ n \geq 4 \] ### Conclusion The minimum number of times an unbiased coin needs to be tossed to achieve a probability of at least 0.9 of getting at least one head is \( n = 4 \).
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OBJECTIVE RD SHARMA ENGLISH-DISCRETE PROBABILITY DISTRIBUTIONS-Exercise
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  2. The value of C for which P(X=k)=Ck^2 can serve as the probability func...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  17. The probability of a man hitting a target is 1/4. How many times must ...

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  18. IF the mean and S.D. of binomial distribution are 20 and 4 respectivel...

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  19. The probability of India winning a test match against West Indies is 1...

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  20. The mean and standard deviation of a binomial variate X are 4 and sqrt...

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