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

To determine whether a finding is an anomaly or an outlier, the following steps can be taken: 1. **Calculating Summary Statistics**: Summary statistics such as mean, median, mode, standard deviation, and range can provide insights into the distribution of the data. Anomalies or outliers can be identified by examining these statistics. 2. **Performing Descriptive Analytics**: Descriptive analytics involves analyzing the data to understand its characteristics. This can include identifying patterns, trends, and relationships in the data. Outliers can be detected through this analysis. 3. **Performing What-if Analysis**: What-if analysis involves exploring the impact of different scenarios on the data. By simulating different scenarios, it is possible to identify anomalies or outliers that may not be apparent in the initial analysis. By combining these methods, it is possible to identify anomalies or outliers in the data. It is important to note that the determination of an anomaly or outlier can be subjective and may require further investigation or domain-specific knowledge.