The problem with measuring only the people who reply
A response rate counts missing voices, but bias depends on what those voices would have said. Real survey comparisons show why the same respondents can support one estimate better than another.
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A response rate counts missing voices, but bias depends on what those voices would have said. Real survey comparisons show why the same respondents can support one estimate better than another.
The familiar 95% label belongs to a sampling and calculation method. A small clean sample shows how one formula can erase uncertainty, while another keeps the limit visible.
A percentage can be accurate and still leave its central question unanswered. Trial results, road fatalities and graduate admissions show how the population, exposure and time beneath a number change what it means.