What is the difference between Bayesian and "regular" statistics?

Answer 1

I agree with the first answerer: Bayesian statistics is correct.

Suppose one has a set of data. In regular statistics , significance test are performed to find the probability that a given hypothesis is true. One calculates the probability of the data given a model. No model, no inference. Different models, different inference.

Bayesian statistics calculates the probability of a model given the data. Bayesian probability is a measure of the degree of belief a person has in some proposition. With different hypotheses or models present, it can assign probabilities to each of the models.

The difference is particular important when experiments are repeated and more and more information is added.

Answer 2

Bayesian statistics is correct.

:-)