Stratified Sampling Trend 2026

Stratified sampling divides a population into distinct subgroups, or strata, before randomly selecting participants from each group. This technique ensures accurate representation across key characteristics like age or income, reducing sampling bias. Researchers, market analysts, and social scientists use it to achieve more precise, reliable insights with smaller sample sizes. It is ideal for studies with heterogeneous populations where proportional representation is critical for valid conclusions.