What does it mean if data are reproducible but not accurate? The data can be produced over and over but are not close to the accepted value. The data are close to the accepted value but cannot be produced over and over. The data are close to the accepted value and are close to one another. The data are close to the accepted value but are not close to one another.
Answers
What does it mean if data are reproducible but not accurate?
A)The data can be produced over and over but are not close to the accepted value.
B)The data are close to the accepted value but cannot be produced over and over.
C)The data are close to the accepted value and are close to one another. D)The data are close to the accepted value but are not close to one another.
Answer is A.The data can be produced over and over but are not close to the accepted value.
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Hello there!
The statement "Data are reproducible but not accurate" means A. the data can be produced over and over but are not close to the accepted value.
Accuracy means how close an observed or acquired value (datum) is to a known exact value.
If you conduct an experiment many times and get the same value, as this statement says, data are reproducible, then this situation talks about precision.
Precise data and accurate data is not always together. Data can be precise but not accurate and data can be accurate but not precise.
I hope this will help you!