NO.PZ2022071202000082
问题如下:
Question Which sampling-related bias is most likely to result in finding apparent significance when none exists?选项:
A.Sample selection bias B.Look-ahead bias C.Data mining bias解释:
SolutionC is correct. Data mining bias comes from overuse or misuse of the data and can result in finding models or patterns where none exist.
A is incorrect. Sample selection bias often results when data availability leads to certain data being excluded from the analysis.
B is incorrect. Look-ahead bias exists if the model uses data not available to the analyst at the time the analyst act on the model.
没太理解题干表达的意思,可以解释一下吗?