 Frequentist inference

Frequentist inference is a framework for statistical analysis that relies on the concept of long-run frequencies of events to draw conclusions about populations based on sample data. In this approach, probability is interpreted as the limit of the relative frequency of an event occurring in a large number of trials. Here are some key characteristics and concepts associated with frequentist inference: 1. **Parameter Estimation**: Frequentist methods often involve estimating parameters (such as means or proportions) of a population from sample data.