Pearson’s Chi-Square test I: Method
Use of the t test has been criticized because it assumes that probabilities are approximately normally distributed (not true, generally).
The Chi-Square test does not make this assumption.
The essence of the test is to compare observed frequencies with frequencies expected for independence. If the difference between observed and expected frequencies is large, then we can reject the null hypothesis of independence.