Conclusion Using rankings for analyzing multiple variables is an extremely useful tool for expedited decision making.
{"Image DocumentName": "ConclusionUsing rankings for analyzing multiple variables is an extremely useful tool for expedited decision making.", "Image ImageDescription": "Data preprocessing allows statistical analysis for incomplete datasets (improves data hygiene). Indexes are scaled by common attributes: A decision tree deals with 1 attribute. a cluster deals with multiple attributes. support vector machines rely on computer generated algorithms for identifying similarity. Statistical tests such as regression analysis, factorial Anova analysis and Meta analysis can be used to draw conclusions regarding whether or not variables are related to each other.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}