Frequentist inference is a statistical framework that interprets probability as the long-run frequency of events occurring in repeated trials. This approach focuses on using sample data to estimate population parameters and make decisions, often emphasizing the concept of hypothesis testing and confidence intervals rather than incorporating prior beliefs about parameters.
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