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What are the likely maximum and minimum values for this measurement 20.4+_0.1cm
The more precise your instruments of measurement are, the less percentage of error you will have.
''Accuracy is the degree of closeness to true value. Precision is the degree to which an instrument or process will repeat the same value. In other words, accuracy is the degree of veracity while precision is the degree of reproducibility.
A variable is a measurement that can take different "values". I put values in quotation marks because a variable can take qualitative values (for example, colour of eye) as well as quantitative (numerical) ones.
Accuracy. How close you are to your expected value. Precision. How close together you values are.
the answer is error or experimental error.
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What are the likely maximum and minimum values for this measurement 20.4+_0.1cm
Significant figures indicate the precision of a measurement.
Values that are commonly accepted and are not extreme in any way.
distance
Few concrete values have been accepted as the standards for water testing. the are minimally accepted values and desired values for aspects like dissolved oxygen, ph, clarity, and dissolved nitrogen.
Aristotle's "Nicomachean Ethics" is most closely associated with the Navy core values.
No, precision and accuracy have different meanings in science. Precision refers to how close measurements are to each other, while accuracy refers to how close measurements are to the true or accepted value. A measurement can be precise but not accurate, or accurate but not precise.
The components of a work measurement system typically include defining the task to be measured, collecting data on the time taken to complete the task, analyzing the data to determine standard times, and establishing performance benchmarks for future reference. Work measurement systems may also involve training employees on proper methods and techniques to optimize efficiency and productivity.
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The percentage error is how accurate your experimental values compared to the accepted value. The equation is: [(experimental value - accepted value) / accepted value] x 100