Standard Error

Updated on March 11, 2023

Standard Error is the ratio between the standard deviation and the square root of the sample size. Standard deviation and standard error are inversely proportional to each other.

The purpose of using standard error is to assess the validity of the sample being considered for analysis and if the variances of different samples are within the means.