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 2 2 3 3 1 Employee 1 2 3 6 4 Salary 24.7 28.6 25.2 28.6 20.8 24.7 (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.) 22.75 24.70 24.95 26.65 28.60 P(x) (b) Suppose one of the three offices is randomly selected. Let X, and X, denote the salaries of the two employees. Determine the sampling distribution of X. (Enter your answers as fractions.) 22.75 26.65 26.90 P(x) (c) How does E(X) from parts (a) and (b) compare to the population mean salary a? E(X) from part (a) is -Select- H, and E(X) from part (b) is -Select-

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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 1**: Employees 1 and 2, Salaries: $24.7k, $26.8k
- **Office 2**: Employees 3 and 4, Salaries: $25.2k, $28.6k
- **Office 3**: Employees 5 and 6, Salaries: $20.8k, $24.7k

**(a)** Suppose two of these employees are randomly selected from among the six (without replacement). Determine the sampling distribution of the sample mean salary \(\bar{X}\).

\[
\begin{array}{c|c}
\bar{x} & p(\bar{x}) \\
\hline
22.75 & \frac{1}{15} \\
24.70 & \\
25.95 & \\
26.65 & \\
28.60 & \frac{2}{15} \\
\end{array}
\]

**(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 \(\bar{X}\).

\[
\begin{array}{c|c}
\bar{x} & p(\bar{x}) \\
\hline
22.75 & \\
26.65 & \\
26.90 & \\
\end{array}
\]

**(c)** How does \(E(\bar{X})\) from parts (a) and (b) compare to the population mean salary \(\mu\)?

\(E(\bar{X})\) from part (a) is [Select...] \(\mu\) and \(E(\bar{X})\) from part (b) is [Select...] \(\mu\).

Note: There is a graphical representation of the sample means and their probabilities in a tabular format. Each entry is a possible sample mean derived from different combinations of employee salaries, and the probability \(p(\bar{x})\) represents how often each mean occurs when sampling.
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 1**: Employees 1 and 2, Salaries: $24.7k, $26.8k - **Office 2**: Employees 3 and 4, Salaries: $25.2k, $28.6k - **Office 3**: Employees 5 and 6, Salaries: $20.8k, $24.7k **(a)** Suppose two of these employees are randomly selected from among the six (without replacement). Determine the sampling distribution of the sample mean salary \(\bar{X}\). \[ \begin{array}{c|c} \bar{x} & p(\bar{x}) \\ \hline 22.75 & \frac{1}{15} \\ 24.70 & \\ 25.95 & \\ 26.65 & \\ 28.60 & \frac{2}{15} \\ \end{array} \] **(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 \(\bar{X}\). \[ \begin{array}{c|c} \bar{x} & p(\bar{x}) \\ \hline 22.75 & \\ 26.65 & \\ 26.90 & \\ \end{array} \] **(c)** How does \(E(\bar{X})\) from parts (a) and (b) compare to the population mean salary \(\mu\)? \(E(\bar{X})\) from part (a) is [Select...] \(\mu\) and \(E(\bar{X})\) from part (b) is [Select...] \(\mu\). Note: There is a graphical representation of the sample means and their probabilities in a tabular format. Each entry is a possible sample mean derived from different combinations of employee salaries, and the probability \(p(\bar{x})\) represents how often each mean occurs when sampling.
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