What is required to determine whether a finding is an anomaly or outlier? performing what-if analysis performing descriptive analytics establishing an expectation

To determine whether a finding is an anomaly or outlier, the most critical step is **establishing an expectation**. This involves defining what is considered normal behavior or typical values within the dataset. Once you have a baseline or expectation, you can then compare the findings against this standard to identify any deviations that may indicate anomalies or outliers. While performing descriptive analytics can help summarize and visualize the data, and what-if analysis can explore the implications of changes in the data, the foundational requirement for identifying anomalies is having a clear expectation of what constitutes normal behavior.