What is Standard Error?

Here $s$ is the sample standard deviation and $n$ is the sample size. It is not the same as the standard deviation: the standard deviation describes the spread of the data, and the standard error describes the uncertainty of the mean. Taking more measurements makes the standard error smaller, but only as $\dfrac{1}{\sqrt{n}}$. To halve it, you need four times as many readings.