When is the chi-square distribution test not reliable for testing in hypothesis tests?

What will be an ideal response?

The chi-square distribution tests are more sensitive to the assumption of normality in the underlying distribution compared to the standard normal distribution tests. Thus, if the underlying population deviates considerably from the normal, the significance levels computed using the chi-square distribution and the hypothesis tests may not be correct.