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!
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$\begingroup$ What are you looking to learn from the references? $\endgroup$– Glen_bOct 17, 2019 at 2:11
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$\begingroup$ Basically trying to refresh some basic statistical tests, e.g., t-test, chi squared test, F-test, confidence intervals etc before a job interview. $\endgroup$– SpawnKilleROct 17, 2019 at 6:41
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$\begingroup$ Degroot and Schervish. You can refer only chapter on hypothesis testing. $\endgroup$– DayneOct 17, 2019 at 7:24
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I really like and recommend the following book: https://learningstatisticswithr.com/ it's well written and free.
