The correct answer is D. All above.
F-tests and p-values are used to test the significance of the difference between two means. Chi-square is used to test the independence of two variables. ANOVA is used to test the equality of means of three or more groups.
All of these methods can be used to select the best features according to specific criteria. For example, we could use F-tests and p-values to select the features that have the most significant impact on the response variable. We could use chi-square to select the features that are most strongly associated with the response variable. And we could use ANOVA to select the features that are most different between the groups.
The choice of which method to use will depend on the specific criteria that we are using to select the best features.