What does se mean in statistics?
Standard error is often abbreviated as “SE.” Standard error is a ratio of standard deviation and sample size. The term is used with, or in place of, standard deviation. Population and sample SE must be distinguished. If the sample is a significant portion of the population, a correction for “finite population” is applied.SE formulaStandard error (SE) is defined as: SE = s / square root(n). The “s” is standard deviation; “n” is sample size. With a sample had 25 data points and a SE of two standard deviations from the average (s=2): SE = 2 / square root(25) = 2/5 = 0.4.UseStandard error is often used in conjunction with, or instead of, standard deviation. Physics, finance, income distributions, and many other fields use statistical formulas such as SE.Comparison to standard deviation (SD)Using the example in “SE formula,” note that the standard deviation was 2, but the standard error was 0.4. Since sample size (n) will always be a positive number, SE will always be smaller than SD. As sa
