What describes reliable data?

Reliable data is characterized by being consistent and repeatable. This means that when the same data-gathering methods are employed under the same conditions, the results will yield similar outcomes each time. Consistency in data collection enhances the credibility of the findings, making them more trustworthy and valid for analysis. Furthermore, if data can be repeated by different researchers or in different settings with similar results, it reinforces the reliability of the data itself.

In contrast, subjective and biased data can skew findings, while data that merely supports any hypothesis lacks the objectivity needed for sound scientific practice. Similarly, data gathered quickly may not be thorough or accurate, compromising its reliability. Reliable data must not only be collected accurately but must also hold up under scrutiny through repeat tests or studies. Hence, the essence of reliability lies in the ability to replicate results consistently over time.