Frequentist statistics
Frequentist statistics is a way of making inferences about populations based on sample data. It relies on the idea that probabilities represent the long-term frequency of events occurring in repeated experiments. For example, if you flip a coin many times, the fraction of heads should approach 50%. Frequentist methods use techniques like hypothesis testing and confidence intervals to assess the likelihood of observed data under a specific model. Unlike Bayesian statistics, it does not incorporate prior beliefs or subjective probabilities; instead, it focuses solely on the data from the current experiment.
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Frequentist statistics is a branch of statistics that interprets data by focusing on long-term frequencies of events. It relies on the idea that the probability of an event is determined by how often it occurs in repeated, identical experiments. For example, if a coin is flipped many times, the frequentist approach would say the probability of landing heads is about the proportion of heads in those flips. This method is often used for hypothesis testing, where researchers determine if observed results are statistically significant based on planned procedures rather than incorporating prior beliefs or information.