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Pre-lab--Glucometer Uncertainty
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Highlights: Repeated glucose measurements reveal that digital devices in health care can have substantial experimental uncertainty.
Abstract: We introduce experimental uncertainty using digital instruments, rather than reinforcing the belief that experimental uncertainty comes from "human error" in reading old analog lab equipment. We introduce the use of standard deviation and standard error to understand the variation that must be expected in repeated measurements of blood glucose meters. Students learn that experimental uncertainty can be quantified and therefore statistical variations in measurements can be taken in stride by patients and practitioners in terms of the weekly average and that 32% of readings are expected to be "off" by more than one standard error.
Resource Types: Pre-class assignment, Instructor supplement, Restricted access
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Copyright:   2025 Blake Laing, Reid Mumford

License:   CC BY-NC-SA - Attribution, No Commercial uses and Share Alike. Derivative works must have the same license.

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