Advanced R Programming
Bias refers to a systematic error that leads to an incorrect representation of the data, which can skew the results of analysis and conclusions drawn from it. In the context of handling missing data and outliers, bias can arise when certain values are disproportionately favored or ignored, ultimately affecting the validity and reliability of any findings or predictions made from the dataset. Understanding bias is crucial for ensuring that analyses are fair and that decisions based on the data are well-informed.
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