Frequentist Statistics

What is Frequentist Statistics?

Frequentist statistics, also known as frequentist interference, is a type of statistical approach where conclusions are made based on the frequency of an event. This statistical approach determines the probability of a long-term experiment, meaning the experiment is repeated under the same set of conditions to obtain an outcome. It is based on the assumption that any given experiment can be considered another repetition of the same experiment, and the data should have a high probability of providing a consistent conclusion. So a pre-experiment value can be used for frequentist statistics. In frequentist statistics the population parameters are fixed, but unknown, and the data observed in experiments are random. 

Why is this Useful?

Frequentist Statistics can provide an estimate for the “true” or “real” value from an experiment, which is done be constructing confidence intervals and significance tests of hypotheses. The conclusions of each experiment are strictly applied to the data that the conclusions are drawn from.