What Does SE Stand For?
SE stands for Standard Error
Standard Error (SE) is a statistical term that measures the accuracy with which a sample represents a population. It quantifies the variability or dispersion of sample means around the true population mean, providing insight into the reliability of sample estimates. The SE is calculated by dividing the standard deviation of the sample by the square root of the sample size. A smaller SE indicates a more precise estimate of the population parameter, making it a critical tool in hypothesis testing and confidence interval estimation.
Added on 27th September 2008 | Last edited on 16th June 2025 | Edit Acronym