USAF Green Belt Practice Exam 2025 – 400 Free Practice Questions to Pass the Exam

Descriptive analytics is the correct choice because it specifically focuses on analyzing historical data to provide insights into what has occurred in the past. This type of analytics consolidates and summarizes past data to help stakeholders understand trends, patterns, and anomalies within that data. By answering questions like "What happened?" and "What were the outcomes?" descriptive analytics provides a foundation for further analysis and decision-making.

In contrast, predictive analytics aims to forecast future outcomes based on historical data by identifying trends and patterns to make informed predictions. Prescriptive analytics goes further by recommending specific actions based on the data analysis, enabling decision-makers to optimize outcomes. Exploratory analytics involves examining data sets to discover patterns or relationships without predefined hypotheses, often serving as a precursor to more structured forms of analysis. Each of the other types of analytics serves distinct purposes, but it is descriptive analytics that directly addresses the explanation of past events through data.