The tests employed depend upon:
 Whether a weight is or is not applied (or, equivalently, a design effect has been specified).
 Settings in Statistical Assumptions (in addition to the settings below, tests are not conducted when a group has a sample size less than the number specified in Minimal sample size for testing).
If viewing Column Comparisons and an ANOVABased Column Comparison test has been selected in Multiple comparison correction then the following tests are performed where the proportion is represented as a vector of 1s and 0s:
 Multiple comparison correction= Fisher LSD: Multiple Comparisons tTest (Fisher LSD)
 Multiple comparison correction= Tukey HSD: Tukey HSD
 Multiple comparison correction= Dunnett: Dunnett’s Pairwise Multiple Comparison
 Multiple comparison correction= Duncan: Duncan’s New Multiple Range Test
 Multiple comparison correction= Bonferroni (Pooled tTest): Multiple Comparisons tTest with Bonferroni Correction
 Multiple comparison correction= NewmanKeuls (SNK): NewmanKeuls (SNK)
 Multiple comparison correction= False Discovery Rate (pooled ttest): Multiple Comparisons tTest with False Discovery Rate Correction
Else:
 Proportions = Nonparametric

 Data is not weighted: Pearson's ChiSquare Test of Independence
 Data is weighted: Second Order RaoScott Test of Independence of a Contingency Table
 Proportions = ztest:

 Data is not weighted: Independent Samples ZTest  Comparing Two Proportions
 Data is weighted: Independent Complex Samples ZTest  Comparing Two Proportions
 Proportions = ttest:

 Data is not weighted: Independent Samples TTest  Comparing Two Proportions
 Data is weighted: Independent Complex Samples TTest  Comparing Two Proportions
 Proportions = Quantum Proportions: Independent Samples  Quantum Column Proportions Test
 Proportions = Survey Reporter Proportions: Independent Samples  Survey Reporter Column Proportions Test