The term "Frequentist" refers to a statistical approach that interprets probability as the long-run frequency of events occurring in repeated experiments. In this framework, parameters are considered fixed but unknown values, and the focus is on the data collected from experiments or observations. Frequentist methods often involve hypothesis testing and confidence intervals to make inferences about populations based on sample data. In contrast to Bayesian statistics, which incorporates prior beliefs and updates them with new evidence, Frequentist methods rely solely on the data at hand. This approach is widely used in various fields, including science, economics, and social research, where objective decision-making is essential.