Why is there just one critical value for a chisquare test ev

Why is there just one critical value for a chi-square test, even when the hypothesis is a two-tailed test?

The critical value is listed as a positive value, but like critical t values, it can be positive or negative.

Similar to ANOVA, chi-square tests are based on variance values, which must always be positive.

Chi-square calculations involve squared values and counts, so the test statistic must be a positive value.

For chi-square tests the research must specify directionality before computing the test statistic.

Solution

Variance is always positive and chi square test is based on variance so it is always positive. And also the distribtuion of chi square is not symmetric like t and z distribution.

So option (b) is correct.