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Calculating the Standard Error Table
$\displaystyle \sigma$	$\displaystyle {n}$	$\displaystyle \sigma_{\overline{{{x}}}}=\frac{σ}{\sqrt{{{n}}}}$
The standard error, which is an average of how far sample means are from the population mean, is defined by $\displaystyle \sigma_{\overline{{{x}}}}=\frac{σ}{\sqrt{{{n}}}}$ where $\displaystyle \sigma$ is the standard deviation and $\displaystyle {n}$ is the sample size. Calculate the following standard errors with the given $\displaystyle \sigma$ and $\displaystyle {n}$ values. Round your answers to 2 decimal places.
$\displaystyle {13.4}$	$\displaystyle {23}$	$\displaystyle \frac{{13.4}}{\sqrt{{{23}}}}=$
$\displaystyle {15.36}$	$\displaystyle {30}$	$\displaystyle \frac{{15.36}}{\sqrt{{{30}}}}=$
$\displaystyle {14.41}$	$\displaystyle {5}$	$\displaystyle \frac{{14.41}}{\sqrt{{{5}}}}=$
$\displaystyle {14.82}$	$\displaystyle {6}$	$\displaystyle \frac{{14.82}}{\sqrt{{{6}}}}=$
$\displaystyle {14.24}$	$\displaystyle {44}$	$\displaystyle \frac{{14.24}}{\sqrt{{{44}}}}=$