When testing the sums of squares of variables which are independently identically distributed as normal variables. One of the main uses of the F-test is for testing for the significance of the Analysis of Variance (ANOVA) or of covariance.
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Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!Yes.For some tests, such as the Fisher F-test, the test statistic is an estimate of the variance. If the alpha level was not affected, the test would be no use at all!
The data sets determine the degrees of freedom for the F-test, nit the other way around!
It depends on the degrees of freedom for the f-test.
A F-ratio test compares 2 variances and tell if they are significantly different. A Chi-square test compares count data.
f(x) = x2 This is a function by the vertical line test because a vertical line drawn through this function will only intersect the function at one point