Your guide to statistical analysis and data-driven decision-making.
Bias refers to systematic errors in the sampling or data collection process that lead to inaccurate estimates of the population parameter. Bias can occur if a survey is not representative of the population, for example.
Margin of error quantifies the uncertainty or variability in the estimate. A smaller margin of error means a more precise estimate, but if there is bias, no margin of error will fully correct for it.
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