Standard Error of Mean (SEM)
Standard Error of Mean(SEM) is also known by the name Standard Deviation of Mean, is the standard deviation of the measure of sample mean of the population. Standard Error is used when we have to find the population mean from the sample of data and we take two samples to get two different mean in that case we use Standard Error Mean.
Standard Error Mean formula is the ratio of standard deviation to the root of sample size,
SEM = S/√(n)
where,
- S is Standard Deviation
- n is Number of Observations
Standard Error
Standard Error is the measure of the variability of a sample statistic used to estimate the variability of a population. Standard Error is important in dealing with sample statistics, such as sample mean, sample proportion, etc. Sample Error Formula is used to determine the accuracy of a sample that reflects a population. The standard error formula is the discrepancy between the sample mean and the population mean.
In this article, we will learn about, Standard Error, Standard Error Formula, Standard Error of Mean, Standard Error of Estimate, related Examples, and Error in detail.