Roger Dodger
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Can someone explain the difference between trueness and bias, as used in measurement?
The discussion clarifies the distinction between trueness and bias in measurement, emphasizing that while both terms are often used interchangeably, they have specific meanings. Trueness refers to the closeness of a measured value to the true value, while bias indicates a systematic error that causes a measurement to deviate from the true value. The conversation highlights the historical context of these terms, noting that bias has been redefined in some fields to emphasize its positive aspects through the term trueness. Key references include ISO standards and academic resources that provide deeper insights into these concepts.
PREREQUISITESThis discussion is beneficial for statisticians, researchers, quality control professionals, and anyone involved in measurement science who seeks to understand the nuances of trueness and bias.
How do you define each?Roger Dodger said:I appreciate the references, but the distinction between trueness and bias is what I seek.