A frequentist is a statistician who believes that probability is a measure of the long-run frequency of an event – the probability of an event happening is based on how often it occurs in a large number of trials.
- Probability as frequency: Probability is defined as the limit of the relative frequency as the number of trials approaches infinity.
- Objective inference: The goal is to make objective conclusions based solely on the data.
- Hypothesis testing: Frequentist statistics heavily relies on hypothesis testing to determine if results are statistically significant.
- Confidence intervals: These are used to estimate the range within which a population parameter is likely to fall.
Frequentist statistics is a foundational approach in statistical inference, focusing on the frequency of events in large datasets to draw conclusions.