Biologists often compare how spread out data is in different groups. The F test, a common method for this, can give wrong results if the data is not normally distributed. Other tests like Levene's test and Box-Anderson test are better for comparing variances when normality is uncertain. These tests are more accurate and powerful, especially with small sample sizes. It's best to avoid using the F test for comparing variances.