Accuracy & Precision
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Calculate the percentage error of a result
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Define and distinguish between “accuracy” and “precision”
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Characterize the accuracy and precision of experimental results
Accuracy
Accuracy: Tells us how close a measurment is to the true value (literature value).
Measuring Accuracy
Absolute Error: The difference between the experimental value and literature value.
Accuracy can also be measured using percentage error (relative error), which is computed like so:
Types of Inaccuracy
Systematic Error: An issue that will consistently impact results in the same way (i.e. if a scale is broken and always measures a value 5 grams over the actual value).
Random Error: Meanwhile, a random error doesn’t impact an experiment in a consistent way (i.e. fluctuating scale readings, varying humidity/pressure in a room impacting results).
Fortunately, repeating an experiment many times essentially eliminates random error. However, multiple trials will not eliminate systematic error.
Precision
Precision: The smallest difference that a measuring device can measure (i.e. an object measured with a scale with precision of ±0.1g would have a true mass in the ±0.1g range of the scale’s reading).
Measuring Precision
Precision can be measured with relative precision which is computed as follows:
Absolute Margin of Error (MoE): The range of possible values.
Relative Margin of Error: The range as the precentage of the final result.
So Is My Result Accurate?
A measurement is accurate if it is within the experimental MoE of the literature value. For instance, if an obelisk of processed meat has a true mass of 50.001g, but was measured to have a mass of 50.0±0.1g, it would be considered accurate, because 50.001g is inside the range 50.0±0.1g. Likewise, if it was measured to have a mass of 100±80g, the resutl would be considered accurate since 50.001 falls inside that range. However if the mass was measured to be 30.000±0.001g, the result would precise, but inaccurate because 50.001 does not fall inside that range.