Frequentist Statistician:

A frequentist statistician approaches statistical inference by focusing on the frequency or probability of events. In this framework, probabilities are associated with the frequency of events in repeated random sampling. Key concepts include point estimation, confidence intervals, and hypothesis testing. The emphasis is on using observed data to make inferences about the true values of population parameters. Frequentist methods do not assign probabilities to hypotheses; instead, they view hypotheses as fixed and the data as variable.

For example, Let’s say we want to estimate the average height of students in a school. A frequentist statistician would take random samples of students, calculate the average height in each sample, and use these averages to make inferences about the true average height of all students in the school. The focus is on using the observed data (sample means) to estimate and make statements about the population parameter (true average height).