Search results
Results from the WOW.Com Content Network
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.
Levene's test; Level of analysis; Level of measurement; Levenberg–Marquardt algorithm; Leverage (statistics) Levey–Jennings chart – redirects to Laboratory quality control; Lévy's convergence theorem; Lévy's continuity theorem; Lévy arcsine law; Lévy distribution; Lévy flight; Lévy process; Lewontin's Fallacy; Lexis diagram; Lexis ratio
The squared ranks test is arguably a test of significance of difference of data dispersion not variance per se. This becomes important, for example, when the Levene's test fails to satisfy the rather generous conditions for normality associated with that test and is a default alternative under those conditions for certain statistical software ...
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]
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.
Exercise mode of testing: The method of fitness used during a VO2 max test can also alter the findings—a treadmill test may yield different results than, say, cycling or swimming.
In order to understand this, it is necessary to understand the test used to evaluate differences between groups, the F-test. The F-test is computed by dividing the explained variance between groups (e.g., medical recovery differences) by the unexplained variance within the groups. Thus,
For premium support please call: 800-290-4726 more ways to reach us