Standard Error (Explained)

For example, if you want to know the average age of the population of a country (the average of the population), take a small group of inhabitants, which we will call `sample` or we can insert the ages of the entire population, case in which we will select `population`. From this, the average age (mean) is extracted and the population is assumed to be of that average age with a standard error of estimation that varies more or less.

It should be noted that it is important not to confuse the standard deviation with the standard error and the standard estimation error:
1- Standard deviation is a measure of data dispersion; that is, it is a measure of the variability of the population.
2- The standard error is a measure of the variability of the sample, calculated on the basis of the standard deviation of the population.
3- The standard error of estimation is a measure of the error that is committed when taking the sample mean as an estimate of the average population.