Sampling Error

In statistics, sampling error refers to the amount of inaccuracy that is estimated to exist within a sample population of the trait being measured. More simply put, since psychological and social science experiments use samples of people or animals during experiments (since we obviously cannot use the entire human population), it's accepted that a sample population doesn’t absolutely reflect the precise reality of the population as a whole. Therefore, a sampling error is calculated to reflect how accurate the results of a study actually are.