A company maintains three offices in a certain region, each staffed by two employees. Information concerning yearly salaries (1000s of dollars) is as follows: Office 1 1 2 3 2 3 Employee 1 2 3 4 5 6 Salary 20.7 24.6 21.2 24.6 16.8 20.7 (a) Suppose two of these employees are randomly selected from among the six (without replacement). Determine the sampling distribution of the sample mean salary X. (Enter your answers for p(x) as fractions.) 18.75 20.70 20.95 22.65 24.60 2 15 15 (b) Suppose one of the three offices is randomly selected. Let X, and X2 denote the salaries of the two employees. Determine the sampling distribution of X. (Enter your answers as fractions.) 18.75 22.65 22.90 0.3333 |x 0.3333 0.3333

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A company maintains three offices in a certain region, each staffed by two employees. Information concerning yearly salaries (in thousands of dollars) is as follows:

| Office | Employee | Salary |
|--------|----------|--------|
| 1      | 1        | 20.7   |
| 1      | 2        | 24.6   |
| 2      | 3        | 21.2   |
| 2      | 4        | 24.6   |
| 3      | 5        | 16.8   |
| 3      | 6        | 20.7   |

**(a)** Suppose two of these employees are randomly selected from among the six (without replacement). Determine the sampling distribution of the sample mean salary \( \overline{X} \). (Enter your answers for \( p(\overline{x}) \) as fractions.)

\[
\begin{array}{c|c|c|c|c|c}
\overline{x} & 18.75 & 20.70 & 20.95 & 22.65 & 24.60 \\
\hline
p(\overline{x}) & \frac{1}{15} & & & \frac{2}{15} & \\
\end{array}
\]

**(b)** Suppose one of the three offices is randomly selected. Let \( X_1 \) and \( X_2 \) denote the salaries of the two employees. Determine the sampling distribution of \( \overline{X} \). (Enter your answers as fractions.)

\[
\begin{array}{c|c|c|c}
\overline{x} & 18.75 & 22.65 & 22.90 \\
\hline
p(\overline{x}) & 0.3333 & 0.3333 & 0.3333 \\
\end{array}
\]

### Explanation of Graphs/Diagrams

1. **Table of Salaries**:
   - Displays the salaries of employees across three offices. Each office has two employees with specified salaries.

2. **Sampling Distribution for Part (a)**:
   - A series of mean salary values \( \overline{x} \) that could result from randomly picking two employees.
   - Their corresponding probabilities \( p(\overline{x}) \) given as fractions
Transcribed Image Text:A company maintains three offices in a certain region, each staffed by two employees. Information concerning yearly salaries (in thousands of dollars) is as follows: | Office | Employee | Salary | |--------|----------|--------| | 1 | 1 | 20.7 | | 1 | 2 | 24.6 | | 2 | 3 | 21.2 | | 2 | 4 | 24.6 | | 3 | 5 | 16.8 | | 3 | 6 | 20.7 | **(a)** Suppose two of these employees are randomly selected from among the six (without replacement). Determine the sampling distribution of the sample mean salary \( \overline{X} \). (Enter your answers for \( p(\overline{x}) \) as fractions.) \[ \begin{array}{c|c|c|c|c|c} \overline{x} & 18.75 & 20.70 & 20.95 & 22.65 & 24.60 \\ \hline p(\overline{x}) & \frac{1}{15} & & & \frac{2}{15} & \\ \end{array} \] **(b)** Suppose one of the three offices is randomly selected. Let \( X_1 \) and \( X_2 \) denote the salaries of the two employees. Determine the sampling distribution of \( \overline{X} \). (Enter your answers as fractions.) \[ \begin{array}{c|c|c|c} \overline{x} & 18.75 & 22.65 & 22.90 \\ \hline p(\overline{x}) & 0.3333 & 0.3333 & 0.3333 \\ \end{array} \] ### Explanation of Graphs/Diagrams 1. **Table of Salaries**: - Displays the salaries of employees across three offices. Each office has two employees with specified salaries. 2. **Sampling Distribution for Part (a)**: - A series of mean salary values \( \overline{x} \) that could result from randomly picking two employees. - Their corresponding probabilities \( p(\overline{x}) \) given as fractions
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