KembaraXtra-Psychology – Bayes’ Theorem


Bayes’ theorem provides a formal mathematical method for updating the probability of a hypothesis based on observed data. It states that the posterior probability of a hypothesis equals the likelihood of the data given the hypothesis multiplied by the prior probability, divided by the overall probability of the data. This theorem is central to statistical inference, machine learning, and cognitive models of reasoning under uncertainty.