Question:

A coin is tossed three times. Let X denote the number of times a tail follows a head. If \(\mu\) and \(\sigma^2\) denote the mean and variance of X, then the value of \(64(\mu + \sigma^2)\) is:

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To calculate the expected value and variance for a probability distribution, use the formulas for mean and variance, and then apply them to the given probabilities.
Updated On: Mar 17, 2025
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The Correct Option is B

Solution and Explanation

HHH \(\to 0\) 
HHT \(\to 0\) 
HTH \(\to 1\) 
HTT \(\to 0\) 
THH \(\to 1\) 
THT \(\to 1\) 
TTH \(\to 1\) 
TTT \(\to 0\) 
Probability distribution: \[ \mu = \sum x_i P_i = \frac{1}{2} \] \[ \sigma^2 = \sum x_i^2 P_i - \mu^2 = \frac{1}{2} \times 1^2 + \frac{1}{2} \times 1^2 - \left(\frac{1}{2}\right)^2 = \frac{1}{4} \] \[ 64(\mu + \sigma^2) = 64\left(\frac{1}{2} + \frac{1}{4}\right) = 64 \times \frac{3}{4} = 48 \]

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