Chi-square test: The Chi-Square Test of Independence determines whether there is an association between categorical variables (i.e., whether the variables are independent or related). For example, in the given question Interdependence of two variables anxiety and awareness levels can be tested using this test. It is a nonparametric test. This test is applied to a complex contingency table with several classes and as such is a very useful test in research work. Testing the significance of the association between two attributes i.e anxiety and awareness levels. Additional Information Wilcoxon signed-rank test: The Wilcoxon signed-rank test is a popular, nonparametric substitute for the t-test. It assumes that the data follow the symmetric distribution It is used when there are two nominal variables and one measurement variable. Spearman's rank difference method of correlation: Spearman's Rank correlation coefficient is a technique that can be used to summarise the strength and direction (negative or positive) of a relationship between two variables. The result will always be between 1 and minus 1. ​Eta coefficient: An Eta Coefficient test is a method for determining the strength of association between a categorical variable (e.g., sex, occupation, ethnicity), typically the independent variable, and a scale- or interval-level variable (e.g., income, weight, test score), typically the dependent variable.