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A biased coin with probability of gettin...

A biased coin with probability of getting head is twice that of tail, is tossed 4 times If a random variable X is number of heads obtained, then expected value of X is :

A

` ( 2 ) /(3 ) `

B

` (8 ) /(3) `

C

`2`

D

` (16 ) /(3) `

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The correct Answer is:
To solve the problem, we need to find the expected value of the random variable \( X \), which represents the number of heads obtained when tossing a biased coin 4 times. The probability of getting heads is twice that of getting tails. ### Step-by-Step Solution: 1. **Define the probabilities**: Let the probability of getting tails be \( P(T) = q \). Since the probability of getting heads is twice that of tails, we have: \[ P(H) = 2q \] The total probability must equal 1: \[ P(H) + P(T) = 1 \implies 2q + q = 1 \implies 3q = 1 \implies q = \frac{1}{3} \] Therefore, the probability of getting heads is: \[ P(H) = 2q = 2 \times \frac{1}{3} = \frac{2}{3} \] 2. **Identify the number of trials**: The coin is tossed \( n = 4 \) times. 3. **Calculate the expected value**: The expected value \( E(X) \) for a binomial distribution can be calculated using the formula: \[ E(X) = n \cdot P(H) \] Substituting the values we have: \[ E(X) = 4 \cdot \frac{2}{3} = \frac{8}{3} \] ### Final Result: The expected value of \( X \) is: \[ E(X) = \frac{8}{3} \]

To solve the problem, we need to find the expected value of the random variable \( X \), which represents the number of heads obtained when tossing a biased coin 4 times. The probability of getting heads is twice that of getting tails. ### Step-by-Step Solution: 1. **Define the probabilities**: Let the probability of getting tails be \( P(T) = q \). Since the probability of getting heads is twice that of tails, we have: \[ P(H) = 2q ...
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