Questions: Determine (mubarx) and (sigmabarx) from the given parameters of the population and sample size.
[
mu=67, sigma=5, n=27
mubarx=square
]
Transcript text: Determine $\mu_{\bar{x}}$ and $\sigma_{\bar{x}}$ from the given parameters of the population and sample size.
\[
\begin{array}{l}
\mu=67, \sigma=5, n=27 \\
\mu_{\bar{x}}=\square
\end{array}
\]
Solution
Solution Steps
Step 1: Calculate the mean of the sampling distribution of the sample mean
The mean of the sampling distribution of the sample mean ($\mu_{\bar{x}}$) is equal to the population mean ($\mu$). Therefore, $\mu_{\bar{x}} = \mu = 67$.
Step 2: Calculate the standard deviation of the sampling distribution of the sample mean
The standard deviation of the sampling distribution of the sample mean ($\sigma_{\bar{x}}$) is calculated by dividing the population standard deviation ($\sigma$) by the square root of the sample size ($n$). Therefore, $\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}} = 0.96$.
Final Answer:
The mean ($\mu_{\bar{x}}$) of the sampling distribution of the sample mean is 67, and the standard deviation ($\sigma_{\bar{x}}$) of the sampling distribution of the sample mean is 0.96.