What does it mean if data are reproducible but not accurate

What does it mean if data are reproducible but not accurate

Answers

When the data is reproducible, you can get the same thing over and over again.  If it is inaccurate, though, it is known as a systematic error, or an error that happens every time the experiment is done, without being able to avoid it.

The data can be produced over and over but are not close to the accepted value.<3

1 one

Explanation:

The data can be produced over and over but are not close to the accepted value.  hope that helps!

A.)  The data can be produced over and over but are not close to the accepted value.

Hope this helps!

Answer;

The data can be produced over and over but are not close to the accepted value.

Explanation;Reproducibility is one of the component that are used to determine precision of a given data or a test method. The other components include repeatability, and falsifiability.Data or measurements are reproducible when the investigation is repeated by a different individual, or using different techniques or equipment, such that the same results are obtained.Reproducibility is an important aspect in scientific research such that any scientific experiment carried out should be reproducible, falsifiable and repeatable.

If data results a reproducible but not accurate, it means that there was a high level of precision, but not complete accuracy.
It means that there was a high level of precision but not complete accuracy
That means that there was a high amount of precision but low level of accuracy
The data can be produced over and over but are not close to the accepted value.

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