Question

the heights of fully grown trees of a specific species are normally distributed, with a mean of 57.0 feet and a standard deviation of 6.75 feet. random samples of size 14 are drawn from the population. use the central limit theorem to find the mean and standard error of the sampling distribution. then sketch a graph of the sampling distribution. the mean of the sampling distribution is $mu_{\bar{x}}=square$. the standard error of the sampling distribution is $sigma_{\bar{x}}=square$. (round to two decimal places as needed.)

Explanation:

Step1: Recall the property of the mean of the sampling - distribution

According to the central limit theorem, the mean of the sampling distribution of the sample mean $\mu_{\bar{x}}$ is equal to the population mean $\mu$. Given $\mu = 57.0$ feet, so $\mu_{\bar{x}}=\mu$.
$\mu_{\bar{x}} = 57.0$

Step2: Recall the formula for the standard error of the sampling - distribution

The standard error of the sampling distribution of the sample mean $\sigma_{\bar{x}}$ is given by the formula $\sigma_{\bar{x}}=\frac{\sigma}{\sqrt{n}}$, where $\sigma$ is the population standard deviation and $n$ is the sample size. Here, $\sigma = 6.75$ feet and $n = 14$.
$\sigma_{\bar{x}}=\frac{6.75}{\sqrt{14}}\approx\frac{6.75}{3.742}\approx1.80$

Answer:

The mean of the sampling distribution is $\mu_{\bar{x}} = 57.0$
The standard error of the sampling distribution is $\sigma_{\bar{x}}\approx1.80$