![]() All of them are right-tailed tests.Ī test for the equality of variances in two normally distributed populations. P-value = 2 × min, we denote the smaller of the numbers a and b.)īelow we list the most important tests that produce F-scores. ![]() Right-tailed test: p-value = Pr(S ≥ x | H 0) Left-tailed test: p-value = Pr(S ≤ x | H 0) In the formulas below, S stands for a test statistic, x for the value it produced for a given sample, and Pr(event | H 0) is the probability of an event, calculated under the assumption that H 0 is true: It is the alternative hypothesis that determines what "extreme" actually means, so the p-value depends on the alternative hypothesis that you state: left-tailed, right-tailed, or two-tailed. ![]() More intuitively, p-value answers the question:Īssuming that I live in a world where the null hypothesis holds, how probable is it that, for another sample, the test I'm performing will generate a value at least as extreme as the one I observed for the sample I already have? It is crucial to remember that this probability is calculated under the assumption that the null hypothesis H 0 is true! Formally, the p-value is the probability that the test statistic will produce values at least as extreme as the value it produced for your sample. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |