Final answer:
Bias in statistics refers to systematic errors, while chance errors occur due to small sample sizes.
Explanation:
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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