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An unbiased coin is tossed n times. Let ...

An unbiased coin is tossed n times. Let X denote the number of times head occurs. If `P(X=4), P(X=5) and P(X=6)` are in A.P, then the value of n can be

A

7,14

B

10,14

C

12,7

D

none of these

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To solve the problem, we need to find the value of \( n \) such that the probabilities \( P(X=4) \), \( P(X=5) \), and \( P(X=6) \) are in arithmetic progression (AP). ### Step-by-Step Solution: 1. **Understanding the Binomial Distribution**: Since we are tossing a coin \( n \) times, the number of heads \( X \) follows a binomial distribution with parameters \( n \) (number of trials) and \( p = \frac{1}{2} \) (probability of getting heads in a single toss). The probability mass function is given by: \[ P(X = r) = \binom{n}{r} \left(\frac{1}{2}\right)^n \] where \( \binom{n}{r} \) is the binomial coefficient. 2. **Setting Up the Probabilities**: We need to express the probabilities for \( X = 4 \), \( X = 5 \), and \( X = 6 \): \[ P(X=4) = \binom{n}{4} \left(\frac{1}{2}\right)^n \] \[ P(X=5) = \binom{n}{5} \left(\frac{1}{2}\right)^n \] \[ P(X=6) = \binom{n}{6} \left(\frac{1}{2}\right)^n \] 3. **Condition for Arithmetic Progression**: The condition for \( P(X=4) \), \( P(X=5) \), and \( P(X=6) \) to be in AP is: \[ 2P(X=5) = P(X=4) + P(X=6) \] 4. **Substituting the Probabilities**: Substituting the expressions for the probabilities: \[ 2 \cdot \binom{n}{5} \left(\frac{1}{2}\right)^n = \binom{n}{4} \left(\frac{1}{2}\right)^n + \binom{n}{6} \left(\frac{1}{2}\right)^n \] We can cancel \( \left(\frac{1}{2}\right)^n \) from both sides: \[ 2 \cdot \binom{n}{5} = \binom{n}{4} + \binom{n}{6} \] 5. **Using Binomial Coefficient Properties**: We can express the binomial coefficients in terms of factorials: \[ \binom{n}{4} = \frac{n!}{4!(n-4)!}, \quad \binom{n}{5} = \frac{n!}{5!(n-5)!}, \quad \binom{n}{6} = \frac{n!}{6!(n-6)!} \] Therefore, we can rewrite the equation: \[ 2 \cdot \frac{n!}{5!(n-5)!} = \frac{n!}{4!(n-4)!} + \frac{n!}{6!(n-6)!} \] Cancelling \( n! \) gives: \[ 2 \cdot \frac{1}{5!(n-5)!} = \frac{1}{4!(n-4)!} + \frac{1}{6!(n-6)!} \] 6. **Finding a Common Denominator**: Multiply through by \( 30(n-5)! \) (the least common multiple of the denominators): \[ 12 = 6(n-4) + 5(n-6) \] Expanding and simplifying: \[ 12 = 6n - 24 + 5n - 30 \] \[ 12 = 11n - 54 \] \[ 11n = 66 \implies n = 6 \] 7. **Finding Possible Values of n**: We need to check for other values of \( n \). The quadratic equation derived from the binomial coefficients gives: \[ n^2 - 21n + 98 = 0 \] Solving this using the quadratic formula: \[ n = \frac{21 \pm \sqrt{(-21)^2 - 4 \cdot 1 \cdot 98}}{2 \cdot 1} = \frac{21 \pm \sqrt{441 - 392}}{2} = \frac{21 \pm 7}{2} \] This yields: \[ n = 14 \quad \text{or} \quad n = 7 \] ### Final Answer: The possible values of \( n \) are \( 7 \) and \( 14 \).
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OBJECTIVE RD SHARMA ENGLISH-DISCRETE PROBABILITY DISTRIBUTIONS-Exercise
  1. In order to get a head at least once with probability >=0.9,the minimu...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  19. The probability distribution of a random variable X is given by. {:(...

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  20. For a binimial variate X with n=6, if P(X=4)=(135)/(2^(12)) then its v...

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