The critical value in hypothesis testing is a threshold that defines the boundary beyond which you would reject the null hypothesis. It is determined based on the significance level (α\alphaα) and the type of test (one-tailed or two-tailed), and it corresponds to the value in the relevant statistical distribution (such as the Z-distribution or T-distribution) that marks the rejection region.