Answer:
Standard error
Step-by-step explanation:
Standard error: In statistics, the term standard error is also denoted as SE, and is reffered to as the estimate of a particular parameter.
It is defined as the standard deviation in statistics related to its sampling distribution or else the the standard deviation's estimate.
Therefore, if a particular parameter or statistic is considered as a mean then it would be denoted as the standard error of that mean.
The standard error of an estimate may also be defined as the square root of the estimated error variance √[tex]\sigma^{2}[/tex] of the quantity,
[tex]S_{e}[/tex] =√[tex]\sigma^{2}[/tex]
In the given question, the appropriate answer would be standard error.
