Tag: Stratified Sampling

Stratified Sampling is an approach used in statistics to ensure an accurate representation of population data. It involves dividing the population into different subgroups or strata based on shared characteristics, then randomly selecting a representative sample from each stratum. Stratified sampling can improve the precision and accuracy of any data set because it reduces the potential for bias. It’s also simpler, more efficient, and more cost-effective than other sampling techniques.