What is defined as the data that is consistent and repeatable?

Reliable data is defined as data that is consistent and repeatable. This characteristic is essential in data-driven decision-making as it ensures that the findings and insights drawn from the data are trustworthy. When data is reliable, it means that if the same measurement is repeated under the same conditions, it will yield the same results, allowing for confidence in the conclusions that can be derived from the data.

Reliable data is foundational for various analytical processes, helping organizations make informed decisions based on statistical analyses and interpretations. It supports the validity of evidence used in forecasting, trend analysis, and other data-driven applications.

In contrast, random variation refers to the inherent fluctuations that can occur in data which may not indicate meaningful changes or patterns. Regression analysis is a statistical method used to understand relationships between variables, while ratio data is a specific type of quantitative data that includes a true zero point. Neither random variation, regression analysis, nor ratio data, on their own, pertains directly to the notion of consistency and repeatability like reliable data does.