Questions: Construct the discrete probability distribution for the random variable described. Express the probabilities as simplified fractions. The number of tails in 4 tosses of a coin.

Construct the discrete probability distribution for the random variable described. Express the probabilities as simplified fractions.
The number of tails in 4 tosses of a coin.
Transcript text: Construct the discrete probability distribution for the random variable described. Express the probabilities as simplified fractions. The number of tails in 4 tosses of a coin.
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Solution

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Solution Steps

Step 1: Construct the Probability Mass Function (PMF)

The PMF for the random variable \( X \), representing the number of tails in 4 tosses of a coin, is calculated as follows:

\[ \begin{align_} P(X = 0) & = 0.0625 \\ P(X = 1) & = 0.25 \\ P(X = 2) & = 0.375 \\ P(X = 3) & = 0.25 \\ P(X = 4) & = 0.0625 \\ \end{align_} \]

Step 2: Calculate the Mean

The mean \( \mu \) of the distribution is calculated using the formula:

\[ \mu = \sum_{k=0}^{n} k \cdot P(X = k) = 0 \times 0.0625 + 1 \times 0.25 + 2 \times 0.375 + 3 \times 0.25 + 4 \times 0.0625 = 2.0 \]

Step 3: Calculate the Variance

The variance \( \sigma^2 \) is calculated using the formula:

\[ \sigma^2 = \sum_{k=0}^{n} (k - \mu)^2 \cdot P(X = k) = (0 - 2.0)^2 \times 0.0625 + (1 - 2.0)^2 \times 0.25 + (2 - 2.0)^2 \times 0.375 + (3 - 2.0)^2 \times 0.25 + (4 - 2.0)^2 \times 0.0625 = 1.0 \]

Step 4: Calculate the Standard Deviation

The standard deviation \( \sigma \) is the square root of the variance:

\[ \sigma = \sqrt{\sigma^2} = \sqrt{1.0} = 1.0 \]

Final Answer

The discrete probability distribution for the number of tails in 4 tosses of a coin is given by the PMF values. The mean, variance, and standard deviation of this distribution are:

\[ \text{Mean} = 2.0, \quad \text{Variance} = 1.0, \quad \text{Standard Deviation} = 1.0 \]

Thus, the final answer is:

\[ \boxed{\text{Mean} = 2.0, \text{Variance} = 1.0, \text{Standard Deviation} = 1.0} \]

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