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  2. F-test - Wikipedia

    en.wikipedia.org/wiki/F-test

    F Table: Level 5% Critical values, containing degrees of freedoms for both denominator and numerator ranging from 1-20. The result of the F test can be determined by comparing calculated F value and critical F value with specific significance level (e.g. 5%).

  3. F-test of equality of variances - Wikipedia

    en.wikipedia.org/wiki/F-test_of_equality_of...

    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]

  4. F-distribution - Wikipedia

    en.wikipedia.org/wiki/F-distribution

    In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after Ronald Fisher and George W. Snedecor), is a continuous probability distribution that arises frequently as the null distribution of a test statistic, most notably in the analysis of variance (ANOVA) and other F-tests.

  5. One-way analysis of variance - Wikipedia

    en.wikipedia.org/wiki/One-way_analysis_of_variance

    The critical value is the number that the test statistic must exceed to reject the test. In this case, F crit (2,15) = 3.68 at α = 0.05. Since F=9.3 > 3.68, the results are significant at the 5% significance level. One would not accept the null hypothesis, concluding that there is strong evidence that the expected values in the three groups ...

  6. Omnibus test - Wikipedia

    en.wikipedia.org/wiki/Omnibus_test

    The F-test in ANOVA is an example of an omnibus test, which tests the overall significance of the model. A significant F test means that among the tested means, at least two of the means are significantly different, but this result doesn't specify exactly which means are different one from the other.

  7. Analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_variance

    The ANOVA F-test is known to be nearly optimal in the sense of minimizing false negative errors for a fixed rate of false positive errors (i.e. maximizing power for a fixed significance level). For example, to test the hypothesis that various medical treatments have exactly the same effect, the F-test's p-values closely approximate the ...

  8. Trump: Democrats made ‘BIG mistake’ getting Cheneys involved

    www.aol.com/news/trump-democrats-made-big...

    President-elect Trump said Democrats made a “BIG mistake” getting involved with former Rep. Liz Cheney (R-Wyo.) and her father, former Vice President Dick Cheney. “The Democrats made a BIG ...

  9. Hartley's test - Wikipedia

    en.wikipedia.org/wiki/Hartley's_test

    The test involves computing the ratio of the largest group variance, max(s j 2) to the smallest group variance, min(s j 2). The resulting ratio, F max, is then compared to a critical value from a table of the sampling distribution of F max. [2] [3] If the computed ratio is less than the critical value, the groups are assumed to have similar or ...