
Measurement Error
Measurement error refers to the difference between the actual value of a quantity and the value obtained through measurement. In data science, measurement error can occur in various stages of the data collection process, including data entry, data cleaning, and data analysis. Measurement error can lead to biased or inaccurate results, which can have significant consequences in decision-making processes. To minimize measurement error, it is important to use reliable and valid measurement tools, ensure accurate data entry and cleaning, and use appropriate statistical methods to account for measurement error in data analysis.
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