What are frequentist methods in statistics?

What are frequentist methods in statistics?

Frequentist methods are statistical techniques that interpret probability as the long-run frequency of events. They focus on the likelihood of observed data under a specific model.

Can you give me an example of a frequentist method?

Sure! A common example is the t-test, which compares the means of two groups to determine if they are statistically different from each other.

How do frequentist methods differ from Bayesian methods?

Frequentist methods rely on fixed parameters and long-run frequencies, while Bayesian methods incorporate prior beliefs and update them with new data.

What are some limitations of frequentist methods?

Some limitations include reliance on large sample sizes, difficulty in interpreting p-values, and not incorporating prior information.

When should I use frequentist methods over Bayesian methods?

Use frequentist methods when you have large sample sizes and need straightforward hypothesis testing, while Bayesian methods are better for incorporating prior knowledge.