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Non-response bias occurs when individuals selected for a survey or study do not respond, leading to a systematic difference between those who participate and those who do not. This can distort the results and conclusions drawn from the data, as the responses collected may not accurately reflect the overall population. Understanding non-response bias is essential for ensuring that sampling techniques and data collection methods yield reliable insights.
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