We want to lower the sampling error one way to accomplish it is by decreasing the standard deviation or increasing the sample size.

By increasing the sample size, you can reduce the incidence of sampling errors. As the sample size increases, the sample approaches the actual population, and the likelihood of deviation from the actual population decreases. Note that the mean of 10 samples is much different than the mean of 100 samples. You can also take steps to ensure that your sample is a fair representation of the entire population.

Researchers can reduce their sampling errors by repeating studies. This can be achieved by performing the same measurements repeatedly or by performing multiple studies using multiple subjects or multiple groups.

Random sampling is an additional method to minimize the occurrence of sampling errors. Random sampling establishes a systematic approach to sample selection. For example, rather than randomly selecting participants to be interviewed, a researcher could select the person whose name appears first, tenth, twentieth, thirtieth, forty, etc. on a list.