Source: wikibot/almost-sure-hypothesis-testing

= Almost sure hypothesis testing
{wiki=Almost_sure_hypothesis_testing}

Almost sure hypothesis testing is a concept in statistics and probability theory that deals with making decisions regarding statistical hypotheses based on observed data, particularly in scenarios where you have a sequence of random observations. It refers to frameworks or methods that guarantee that the probability of making an error in hypothesis testing approaches zero as the sample size increases.