Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of "girls" (g) and "boys" (b), which we write gbg, bbb, etc. For each outcome, let R be the random variable counting the number of boys in each outcome. For example, if the outcome is bbg, then R(bbg) = 2. Suppose that the random variable X is defined in terms of R as follows: X=R-R-3. The values of X are thus: Outcome ggbbbgbgbbbbgbbggggbgbgg Value of -3-5 -5 -9 -5 -3 -3-3 Calculate the probability distribution function of X, I.e. the function py (x). First, fill in the first row with the values of X. Then fill in the appropriate probabilities in the second row.

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**Transcription:**

Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of "girls" (g) and "boys" (b), which we write gbg, bbb, etc. For each outcome, let \( R \) be the random variable counting the number of boys in each outcome. For example, if the outcome is \( bbg \), then \( R(bbg) = 2 \). Suppose that the random variable \( X \) is defined in terms of \( R \) as follows: \( X = R - R^2 - 3 \). The values of \( X \) are thus:

\[
\begin{array}{|c|c|}
\hline
\text{Outcome} & \text{Value of } X \\
\hline
ggg & -3 \\
ggb & -5 \\
gbg & -5 \\
bgg & -5 \\
gbb & -9 \\
bgb & -9 \\
bbg & -9 \\
bbb & -3 \\
\hline
\end{array}
\]

Calculate the probability distribution function of \( X \), i.e., the function \( p_X(x) \). First, fill in the first row with the values of \( X \). Then fill in the appropriate probabilities in the second row.

\[
\begin{array}{|c|c|c|c|}
\hline
\text{Value } x \text{ of } X &  &  &  \\
p_X(x) &  &  &  \\
\hline
\end{array}
\]

**Diagram Explanation:**

The table displays outcomes of the children's genders with corresponding random variable \( X \) values. The task is to find the probability \( p_X(x) \) for each unique \( X \) value by identifying outcomes and their probabilities.
Transcribed Image Text:**Transcription:** Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of "girls" (g) and "boys" (b), which we write gbg, bbb, etc. For each outcome, let \( R \) be the random variable counting the number of boys in each outcome. For example, if the outcome is \( bbg \), then \( R(bbg) = 2 \). Suppose that the random variable \( X \) is defined in terms of \( R \) as follows: \( X = R - R^2 - 3 \). The values of \( X \) are thus: \[ \begin{array}{|c|c|} \hline \text{Outcome} & \text{Value of } X \\ \hline ggg & -3 \\ ggb & -5 \\ gbg & -5 \\ bgg & -5 \\ gbb & -9 \\ bgb & -9 \\ bbg & -9 \\ bbb & -3 \\ \hline \end{array} \] Calculate the probability distribution function of \( X \), i.e., the function \( p_X(x) \). First, fill in the first row with the values of \( X \). Then fill in the appropriate probabilities in the second row. \[ \begin{array}{|c|c|c|c|} \hline \text{Value } x \text{ of } X & & & \\ p_X(x) & & & \\ \hline \end{array} \] **Diagram Explanation:** The table displays outcomes of the children's genders with corresponding random variable \( X \) values. The task is to find the probability \( p_X(x) \) for each unique \( X \) value by identifying outcomes and their probabilities.
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