no

This test is used to determine whether the means of the different variables are significantly different from each other.

Fisher's exact probability test, chi-square test for independence, Kolmogorov-Smirnov test, Spearman's Rank correlation and many, many more.

If the assumptions behind the chi-square test don't hold (e.g. more than 10% of your events have expected frequencies below 5) then consider using an exact test, such as Fisher's Exact Test for 2x2 contingency tables.

becaused it is exact