Question

What is the difference between accurate data and reproducible data?

Answer 1

Data accuracy is one of the components of data quality. It refers to whether the data values stored for an object are the correct values. To be correct, a data values must be the right value and must be represented in a consistent and unambiguous form, while reproducible data is the Data that is said to be reliable if it is reproducible by both yourself and others. Reproducible means that if you keep repeating the same experiment then you keep getting the same answers. If you keep getting different answers then the data is not reliable and can't be used as evidence.

Answer 2

Answer:

Accuracy is ‘the state of being correct’ and on the other hand precision is ‘the state of being exact.

Explanation:

Accuracy shows the nearness of the measurement with the actual measurement while precision shows the nearness of an individual measurement with other measurements.

Accuracy focuses on the errors caused by the problem in the instrument. while precision is concerned with errors, which occurs periodically with no recognizable pattern.

If the measurement is precise but inaccurate, the result will not be the expected one. And if the result is accurate but imprecise, then there are huge variations in the measurements. And finally, if the actual measurement is neither accurate nor precise, then the result would not have correctness and exactness at the same time.