What term describes a statistical concept that validates data by reviewing information from multiple reliable sources?

The term that best describes the process of validating data by reviewing information from multiple reliable sources is known as data triangulation. This approach involves the use of different sources, methods, or data sets to cross-check and reinforce the findings, enhancing the credibility and reliability of the data. By integrating various perspectives, data triangulation helps to minimize biases that may occur when relying on a single source of information. This process is particularly valuable in research, decision-making, and supplier relationships, where accurate and trustworthy data is crucial for effective outcomes.

The other concepts, while related to data verification in some capacity, do not specifically encapsulate the multi-source aspect inherent in data triangulation. Validation typically refers to the process of confirming the accuracy of data rather than the methodology of verifying it through multiple sources. Cross-verification is indeed a form of checking data but does not specifically emphasize the use of diverse data sources, and statistical analysis focuses more on examining and interpreting data rather than on validating it through multiple verified sources.