Standard Error: Key to Accurate Statistical Inferences and Confidence Intervals
The standard error is a measure of how spread out data points are around the mean. It helps in making conclusions about a population based on a sample. The standard error of the mean is crucial in statistical tests like z tests and t tests, as well as in creating confidence intervals.