The Null hypothesis in a chi-square test states: 0 There is no difference in the size of your measured populations. 0 There are significant differences across some, but not all populations for the variable of interest. 0 There are significant differences across all of the populations for the variable of interest. 0 There is no difference across populations for the variable of interest. A chi-square test would be appropriate for examining the relationship between 0 City of residence (urban or rural) and type of occupation (blue collar or white collar). 0 Education (in years) and type of occupation (blue collar or white collar). 0 Education (in years) and city of residence (urban or rural) 0 Salary (measured as annual household income) and type of occupation (blue collar or white collar). An analysis of variance (ANOVA) is used to: 0 Test which group a person is most likely to belong to out of 3 or more groups 0 Test for differences in means between 3 or more groups 0 Test the strength of associations between 3 or more variables 0 Test for differences in sample size between 3 or more groups