Definition of Standard error:
The term "standard error" is used to refer to the standard deviation of various sample statistics, such as the mean or median. For example, the "standard error of the mean" refers to the standard deviation of the distribution of sample means taken from a population. The smaller the standard error, the more representative the sample will be of the overall population.
Standard deviation of a sampling distribution.
A measure of the statistical accuracy of an estimate, equal to the standard deviation of the theoretical distribution of a large population of such estimates.
The standard error (SE) of a statistic is the approximate standard deviation of a statistical sample population. The standard error is a statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation. In statistics, a sample mean deviates from the actual mean of a population—this deviation is the standard error of the mean.
How to use Standard error in a sentence?
- The standard error can include the variation between the calculated mean of the population and one which is considered known, or accepted as accurate.
- The more data points involved in the calculations of the mean, the smaller the standard error tends to be.
- The standard error is the approximate standard deviation of a statistical sample population.
- For the statistical analysis, means, standard deviations, and standard errors were computed.
Meaning of Standard error & Standard error Definition