Partnership-Tests of Existence of Relationship is a statistical method used to determine whether a significant relationship exists between two or more variables. It is used to test the hypothesis that the variables are related and to determine the strength and nature of that relationship. These tests are often used in research studies, to identify cause-effect relationships and to analyze the results of experiments. There are several types of Partnership-Tests of Existence of Relationship, including Chi-Square Test of Independence, Pearson Correlation Coefficient Test, Spearman’s Rank Correlation Coefficient Test, and Kendall’s Tau Test. The Chi-Square Test of Independence is used to determine whether the frequencies of two categorical variables are related. The Pearson Correlation Coefficient Test is used to measure the strength and direction of the linear relationship between two continuous variables, while the Spearman’s Rank Correlation Coefficient Test is used to measure the strength and direction of any monotonic relationship between two continuous variables. Finally, the Kendall’s Tau Test is used to measure the strength and direction of any monotonic relationship between two ordinal variables.