Because it is impossible to measure everyone's opinions, pollsters frequently rely on

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Random sampling is the most effective way to ensure a representative sample of a larger population. By randomly selecting participants, pollsters can minimize bias and increase the chances of obtaining accurate results. Quota sampling relies on specific quotas based on demographics, which can introduce bias into the sample. Stratified sampling is useful for studying subgroups within a larger population, but it may not be effective for capturing the overall opinions of a diverse population. Qualitative and quantitative sampling are not sampling techniques but rather approaches to data analysis.

Because It Is Impossible to Measure Everyone's Opinions, Pollsters Frequently