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2 cards from this section. Quick, good the night before a test.
Define the term 'True Value'.
Think about what the true measurement should be.
What is the purpose of a calibration plot?
Consider how plots can help show accuracy.
What does the term 'True Value' refer to?
Think of it as what you want your measurement to reflect.
Is a higher R-squared value better for calibration plots?
Evaluate if 'better fit' leads to better reliability.
A researcher measures three known masses (1g, 5g, 10g) using a poorly calibrated balance. The reported weights were 0.9g, 4.8g, and 9.5g. What does this indicate about the calibration of the balance?
Compare the reported weights with the true values to assess the degree of inaccuracy.
An instrument's calibration shows an R-squared value of 0.85 for a linear fit but varies widely in measurements compared to a benchmark. Discuss potential reasons and implications for the instrument performance.
Consider factors that can affect instrument readings beyond just the calibration itself.
6 more questions in this section. Enroll free to practise them all.
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