Frequentistlikud

Frequentistlikud is a term used to describe a school of thought within statistics. This approach, also known as classical statistics or the frequentist interpretation of probability, defines probability as the long-run frequency of an event. In this view, probability is a property of the real world and can be observed through repeated experiments or observations. For example, the probability of flipping a fair coin and getting heads is understood as the proportion of times heads would appear if the coin were flipped an infinite number of times.

Frequentist methods focus on the properties of statistical procedures over many hypothetical repetitions. Key concepts include confidence intervals, which provide a range of values that is likely to contain an unknown parameter, and p-values, which measure the probability of observing data as extreme as, or more extreme than, the observed data, assuming the null hypothesis is true. Frequentists aim to control error rates in the long run. For instance, a 95% confidence interval means that if the procedure were repeated many times, 95% of the intervals constructed would contain the true parameter value. This perspective is widely used in scientific research and data analysis.