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The F-ratio is used to determine whether the variances in two independent samples are equal. If the F-ratio is not statistically significant, you may assume there is homogeneity of variance and employ the standard t-test for the difference of means. If the F-ratio is statistically significant, use an alternative t-test computation such as the Cochran and Cox method.
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In analysis of variance the magnitude of the mean differences from one treatment to another will contribute to the numerator of the f-ratio the denominator of the f-ratio both neither?
the numerator of the F-ratio
Is the f distribution negatively skewed?
In general the distribution of F-ratio means what
Possible to obtain a negative value for an F-ratio?
no.
Why do you keep the larger of the two variances in the numerator while calculating f distribution variance ratio?
Off the top of my head, a perfect F-ratio would be 1.00 which is never possible. All F-ratios will be greater than one so the numerator has to be greater than denominator.
What is a difference between F statistics F distribution?
An F-statistic is a measure that is calculated from a sample. It is a ratio of two lots of sums of squares of Normal variates. The sampling distribution of this ratio follows the F distribution. The F-statistic is used to test whether the variances of two samples, or a sample and population, are the same. It is also used in the analysis of variance (ANOVA) to determine what proportion of the variance can be "explained" by regression.
