Stratified random sample

Stratifying groups individuals who resemble each other on something relevant, then samples within every group, which can give more precise estimates than a plain simple random sample. For example, you might split students into grade levels and draw a random sample from each grade so every grade is represented. The strata should be internally similar but different from one another. You then combine the results across strata to estimate the population value.