Which of the following defines accuracy in data?

Accuracy in data refers to how closely the values within a dataset reflect the true values of the real-world phenomena they are intended to represent. This means that for data to be considered accurate, it must align closely with actual measurements, observations, or facts. When data is deemed accurate, it ensures that analyses performed on this data can yield valid conclusions and reliable insights.

In the context of the provided choices, the option emphasizing that values must represent the real world accurately effectively encapsulates this definition. It highlights the essential characteristic of accuracy, which is the correctness of the information as it pertains to reality.

Other aspects presented in the options, such as consistency, availability, and feasibility of checks, while related to the overall quality and reliability of data, do not specifically define accuracy. Consistency refers to the uniformity of data across time and sources, availability concerns the access to data when needed, and feasibility of checks relates to the practicality of verifying data quality. However, none of these directly address the concept of accuracy as it pertains to the precision and true representation of data values.