The standard error of $\bar { Y } , S E ( \bar { Y } ) = \hat { \sigma } \bar { Y }$ is given by the following formula:
A) $\frac { 1 } { n } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right) ^ { 2 }$
B) $\frac { S _ { y } ^ { n } } { n }$
C) $S _ { y }$
D) $\frac { S _ { y } } { \sqrt { n } }$

Question

Quizplus · Accepted Answer

The standard error of the sample mean is calculated as the sample standard deviation divided by the square root of the sample size, which is $\frac { S _ { y } } { \sqrt { n } }$.

The Standard Error Of Yˉ,SE(Yˉ)=σ^Yˉ\bar { Y } , S E ( \bar { Y } ) = \hat { \sigma } \bar { Y }Yˉ,SE(Yˉ)=σ^Yˉ

The Standard Error Of $\bar { Y } , S E ( \bar { Y } ) = \hat { \sigma } \bar { Y }$