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In statistics, Levene's test is an inferential statistic used to assess the equality of variances for a variable calculated for two or more groups. [1] This test is used because some common statistical procedures assume that variances of the populations from which different samples are drawn are equal. Levene's test assesses this assumption.
Howard Levene (January 17, 1914 – July 2, 2003) [1] was an American statistician and geneticist. He received his Ph.D. from Columbia University in 1947, and joined the faculty there shortly thereafter. He remained on the faculty at Columbia, where he served as professor of mathematical statistics and genetics, until 1982.
In statistics, an F-test of equality of variances is a test for the null hypothesis that two normal populations have the same variance.Notionally, any F-test can be regarded as a comparison of two variances, but the specific case being discussed in this article is that of two populations, where the test statistic used is the ratio of two sample variances. [1]
An f-test pdf with d1 and d2 = 10, at a significance level of 0.05. (Red shaded region indicates the critical region) An F-test is a statistical test that compares variances. It's used to determine if the variances of two samples, or if the ratios of variances among multiple samples, are significantly different.
The poor English makes this almost unreadable. Please address to make this article useful. — Preceding unsigned comment added by 130.63.39.82 15:31, 27 October 2020 (UTC) []
In statistics, a covariate represents a source of variation that has not been controlled in the experiment and is believed to affect the dependent variable. [8] The aim of such techniques as ANCOVA is to remove the effects of such uncontrolled variation, in order to increase statistical power and to ensure an accurate measurement of the true relationship between independent and dependent ...
Keith Levene, a founding member of The Clash and Public Image Ltd, has died at 65 after battling liver cancer. “It is with great sadness I report that my close friend and legendary Public Image ...
In statistics, Bartlett's test, named after Maurice Stevenson Bartlett, [1] is used to test homoscedasticity, that is, if multiple samples are from populations with equal variances. [2] Some statistical tests, such as the analysis of variance , assume that variances are equal across groups or samples, which can be checked with Bartlett's test.