I am looking for some references on frequentist hypothesis testing (e.g., t-test, chi-squared test, F-test, A/B testing etc). I have significant experience with probabilistic methods like Bayes rules, GLRT, UMP etc from graduate inference courses, but it's been a long time since I studied the approaches that are based on a sample and not on a probabilistic model. Any advice for any good book or any good notes? I am looking for something relatively short that also explains the intuition behind the tests. Thanks!