Which one of the following methods allows comparisons among different values from different variables?

The method that allows comparisons among different values from different variables is typically **multivariate analysis**. This approach includes various statistical techniques that analyze multiple variables simultaneously to understand relationships, patterns, and differences among them. Common methods within multivariate analysis include: 1. **Multivariate Analysis of Variance (MANOVA)**: Used to compare means across multiple groups for multiple dependent variables. 2. **Principal Component Analysis (PCA)**: Reduces the dimensionality of data while preserving as much variance as possible, allowing for comparisons across different variables. 3. **Cluster Analysis**: Groups similar observations based on multiple variables, facilitating comparisons among different groups. 4. **Factor Analysis**: Identifies underlying relationships between variables, allowing for comparisons based on these factors. If you have a specific context or type of comparison in mind, please provide more details for a more tailored response!