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Bias in statistics refers to systematic errors, while chance errors occur due to small sample sizes.
Bias, in statistics, refers to systematic errors that consistently skew data in one direction. For example, always underestimating or overestimating a measurement due to a flaw in the study design would be a bias. This is different from chance error, which arises from sample size inadequacy and can be alleviated by using larger samples.
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