Null hypothesis (H 0): There is no significant association between the two variables.Īlternative hypothesis: (Ha): There is a significant association between the two variables. The hypotheses of the test are as follows: We use a chi-square test for independence when we want to formally test whether or not there is a statistically significant association between two categorical variables. There are actually a few different versions of the chi-square test, but the most common one is the Chi-Square Test of Independence. This tutorial provides a simple explanation of the difference between the two tests, along with when to use each one. Thus, it’s important to understand the difference between these two tests and how to know when to use each one based on the problem you want to answer. Chi-Square Tests and t-Tests are two of the most common types of statistical tests.
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