Assesses observed differences in the rates of occurrence for a categorical output at different levels (settings) of an input. To use this test, the data for both variables (input and output) must be discrete or categorical. For example, X could be five different named hospitals and Y could be the likelihood of recovery (high, moderate, low, or unlikely).
|When to Use||Purpose|
|Mid-project||Fixing an input at two or more different settings (levels) helps to determine which inputs have significant influence on the output profile (% by category).|
|Mid-project||Verify changes to inputs result in significant differences from the pre-project output profile.|
A table containing the counts of each combination of the categorical X and Y
You can enter data in two ways:
To use data entered in this manner, choose.