The frequentist approach is a statistical framework that defines probability as the long-run frequency of events occurring in repeated independent trials. This perspective emphasizes the use of sample data to make inferences about population parameters, where probabilities are interpreted based on how often an event would occur in a hypothetical infinite number of trials. In this context, it plays a crucial role in understanding Type I and Type II errors, which are fundamental concepts in hypothesis testing.
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