Selection bias skews research outcomes when participants aren't randomly chosen, distorting results toward a specific group. It often arises in surveys, clinical trials, or data analysis, leading to inaccurate conclusions. Researchers and statisticians must recognize it to ensure valid findings, while businesses and policymakers benefit by avoiding flawed decisions. Proper sampling methods mitigate this bias, enhancing data reliability and fairness.
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