The standard error is given by the formula:
![SE=\frac{\sigma}{\sqrt[]{n}}](https://img.qammunity.org/2023/formulas/mathematics/college/hk3awtd244c6z0deg4o032cbstwe0ojus5.png)
Where: σ is the standard deviation and (n) is the number of samples
Given: a sample size of 4 and a population standard deviation of 12
So, n = 4 and σ = 12
So, the standard error =
![SE=\frac{12}{\sqrt[]{4}}=(12)/(2)=6](https://img.qammunity.org/2023/formulas/mathematics/college/27ul6334svdcuqi62qixlsn4pdght9hpy0.png)
And, If you have a population standard deviation of 2 and a sample size of 9
The standard error will be =
![SE=\frac{2}{\sqrt[]{9}}=(2)/(3)](https://img.qammunity.org/2023/formulas/mathematics/college/t8jlxkc6p860th5l0zdoee2hedhlz1zpz9.png)