Answer: Standard error.
Step-by-step explanation:
If the population is normally distributed , then the standard deviation of a sampling distribution of the sample mean [tex][tex]\overline{x}[/tex][/tex] is known as standard error which depends on population standard deviation [tex](\sigma)[/tex] and the sample size (n).
[tex]\sigma_x=\dfrac{\sigma}{\sqrt{n}}[/tex]
It measure the variability in the sample statistics that happens by chance.
Thus, the standard deviation of a sampling distribution is called the standard error.
