Critical Inquiry Exam 1 Practice 2026 - Free Critical Inquiry Practice Questions and Study Guide

Stratified sampling works by dividing the population into subgroups that are internally similar and then sampling from each subgroup. This guarantees representation of each subgroup because you purposefully include members from every stratum in the overall sample, rather than relying on chance to capture them all. The precision improves because, within each subgroup, the variation is smaller, so the combined estimate has lower sampling error than a simple random sample of the same size. It’s not primarily about reducing costs, and no sampling method can eliminate sampling error entirely. Also, sampling results won’t be identical across all strata, since each subgroup can have its own distinct values.